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Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations
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2025
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Cornelius Fritz
Marius Mehrl
Paul W. Thurner
Göran Kauermann
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Regression‐based network‐flow and inner‐matrix reconstruction
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2024
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Michael Lebacher
Göran Kauermann
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PDF
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LASSO Estimation in Exponential Random Graph models
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2024
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Sergio Buttazzo
Göran Kauermann
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Stochastic Block Smooth Graphon Model
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2024
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Benjamin Sischka
Göran Kauermann
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PDF
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The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany
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2024
|
Martje Rave
Göran Kauermann
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PDF
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Estimating excess mortality in high-income countries during the COVID-19 pandemic
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2024
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Giacomo De Nicola
Göran Kauermann
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PDF
Chat
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Dependence matters: Statistical models to identify the drivers of tie formation in economic networks
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2023
|
Giacomo De Nicola
Cornelius Fritz
Marius Mehrl
Göran Kauermann
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PDF
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Spatial smoothing revisited: An application to rental data in Munich
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2023
|
Ludwig Fahrmeir
Göran Kauermann
Gerhard Tutz
Michael Windmann
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PDF
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COVID-19 and social media: Beyond polarization
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2023
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Giacomo De Nicola
Victor H. Tuekam Mambou
Göran Kauermann
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PDF
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Die Berücksichtigung von außergesetzlichen Merkmalen bei der Mietspiegelerstellung – Kausalität versus Vorhersage
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2023
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Göran Kauermann
Michael Windmann
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Conflict forecasting using remote sensing data: An application to the Syrian civil war
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2023
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Daniel Racek
Paul W. Thurner
Brittany I Davidson
Xiao Xiang Zhu
Göran Kauermann
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Modelling the large and dynamically growing bipartite network of German patents and inventors
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2023
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Cornelius Fritz
Giacomo De Nicola
Sevag Kevork
Dietmar Harhoff
Göran Kauermann
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Nonparametric Two-Sample Test for Networks Using Joint Graphon Estimation
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2023
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Benjamin Sischka
Göran Kauermann
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PDF
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Predictive Energy Management for Battery Electric Vehicles with Hybrid Models
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2023
|
Yu‐Wen Huang
Christian Prehofer
William Lindskog
Ron Puts
Pietro Mosca
Göran Kauermann
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The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter
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2023
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Daniel Racek
Brittany I Davidson
Paul W. Thurner
Göran Kauermann
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Weighted high dimensional data reduction of finite Element Features -- An Application on High Pressure of an Abdominal Aortic Aneurysm
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2023
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Christoph Striegel
Göran Kauermann
Jonas Biehler
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The Skellam Distribution revisited -Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany
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2023
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Martje Rave
Göran Kauermann
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Sources of Uncertainty in Machine Learning -- A Statisticians' View
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2023
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Cornelia Gruber
Patrick Oliver Schenk
Malte Schierholz
Frauke Kreuter
Göran Kauermann
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Estimating excess mortality in high-income countries during the COVID-19 pandemic
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2023
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Giacomo De Nicola
Göran Kauermann
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Categorising the World into Local Climate Zones -- Towards Quantifying Labelling Uncertainty for Machine Learning Models
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2023
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Katharina Hechinger
Xiao Xiang Zhu
Göran Kauermann
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Towards Label Embedding -- Measuring classification difficulty
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2023
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Katharina Hechinger
Christoph Koller
Xiao Xiang Zhu
Göran Kauermann
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Statistical modelling of COVID-19 data: Putting generalized additive models to work
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2022
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Cornelius Fritz
Giacomo De Nicola
Martje Rave
Maximilian Weigert
Yeganeh Khazaei
Ursula Berger
Helmut Küchenhoff
Göran Kauermann
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Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany
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2022
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Cornelius Fritz
Giacomo De Nicola
Felix Günther
David Rügamer
Martje Rave
Marc Schneble
Andreas Bender
Maximilian Weigert
Ralph Brinks
Annika Hoyer
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PDF
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All that glitters is not gold: Relational events models with spurious events
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2022
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Cornelius Fritz
Marius Mehrl
Paul W. Thurner
Göran Kauermann
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PDF
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Discussion on On the role of data, statistics and decisions in a pandemic
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2022
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Ursula Berger
Göran Kauermann
Helmut Küchenhoff
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PDF
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Intensity estimation on geometric networks with penalized splines
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2022
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Marc Schneble
Göran Kauermann
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PDF
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An update on excess mortality in the second year of the COVID-19 pandemic in Germany
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2022
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Giacomo De Nicola
Göran Kauermann
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PDF
Chat
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Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections
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2022
|
Giacomo De Nicola
Marc Schneble
Göran Kauermann
Ursula Berger
|
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PDF
Chat
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A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm
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2022
|
Christoph Striegel
Jonas Biehler
Wolfgang A. Wall
Göran Kauermann
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PDF
Chat
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Statistical modelling of COVID-19 data: Putting Generalised Additive
Models to work
|
2022
|
Cornelius Fritz
Giacomo De Nicola
Martje Rave
Maximilian Weigert
Yeganeh Khazaei
Ursula Berger
Helmut Küchenhoff
Göran Kauermann
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Actor Heterogeneity and Explained Variance in Network Models -- A Scalable Approach through Variational Approximations
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2022
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Nadja Klein
Göran Kauermann
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Modelling the large and dynamically growing bipartite network of German patents and inventors
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2022
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Cornelius Fritz
Giacomo De Nicola
Sevag Kevork
Dietmar Harhoff
Göran Kauermann
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Stochastic Block Smooth Graphon Model
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2022
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Benjamin Sischka
Göran Kauermann
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Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
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2022
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Christoph Koller
Göran Kauermann
Xiao Xiang Zhu
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COVID-19 and social media: Beyond polarization
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2022
|
Giacomo De Nicola
Victor H. Tuekam Mambou
Göran Kauermann
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Dependence matters: Statistical models to identify the drivers of tie formation in economic networks
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2022
|
Giacomo De Nicola
Cornelius Fritz
Marius Mehrl
Göran Kauermann
|
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PDF
Chat
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Iterative estimation of mixed exponential random graph models with nodal random effects
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2021
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Sevag Kevork
Göran Kauermann
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The role of governmental weapons procurements in forecasting monthly fatalities in intrastate conflicts: A semiparametric hierarchical hurdle model
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2021
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Cornelius Fritz
Marius Mehrl
Paul W. Thurner
Göran Kauermann
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Bipartite exponential random graph models with nodal random effects
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2021
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Sevag Kevork
Göran Kauermann
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On the Interplay of Regional Mobility, Social Connectedness and The Spread of COVID-19 in Germany
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2021
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Cornelius Fritz
Göran Kauermann
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All that Glitters is not Gold: Modeling Relational Events with Measurement Errors
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2021
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Cornelius Fritz
Marius Mehrl
Paul W. Thurner
Göran Kauermann
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PDF
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Separable and semiparametric network-based counting processes applied to the international combat aircraft trades
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2021
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Cornelius Fritz
Paul W. Thurner
Göran Kauermann
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PDF
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EM-based smooth graphon estimation using MCMC and spline-based approaches
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2021
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Benjamin Sischka
Göran Kauermann
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A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 2020
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2021
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Marc Schneble
Giacomo De Nicola
Göran Kauermann
Ursula Berger
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Statistical modeling of on-street parking lot occupancy in smart cities
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2021
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Marc Schneble
Göran Kauermann
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A split questionnaire survey design in the context of statistical matching
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2021
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Mehboob Ali
Göran Kauermann
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PDF
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In search of lost edges: a case study on reconstructing financial networks
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2021
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Michael Lebacher
Nadja Klein
Göran Kauermann
Samantha Cook
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Matrix-free Penalized Spline Smoothing with Multiple Covariates
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2021
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Julian Wagner
Göran Kauermann
Ralf Münnich
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Experiments and Causality
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Model Selection and Model Averaging
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Missing and Deficient Data
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Multivariate and Extreme Value Distributions
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Background in Probability
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Bootstrapping
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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+
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Statistical Decisions
|
2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Bayesian Statistics
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Introduction
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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Regression
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2021
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Göran Kauermann
Helmut Küchenhoff
Christian Heumann
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All that Glitters is not Gold: Relational Events Models with Spurious Events
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2021
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Cornelius Fritz
Marius Mehrl
Paul W. Thurner
Göran Kauermann
|
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On assessing excess mortality in Germany during the COVID-19 pandemic
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2021
|
Giacomo De Nicola
Göran Kauermann
Michael Höhle
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Statistical modeling of on-street parking lot occupancy in smart cities
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2021
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Marc Schneble
Göran Kauermann
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PDF
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Spotlight on the dark figure: Exhibiting dynamics in the case detection ratio of COVID-19 infections in Germany
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2020
|
Marc Schneble
Giacomo De Nicola
Göran Kauermann
Ursula Berger
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PDF
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Estimation of latent network flows in bike-sharing systems
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2020
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Marc Schneble
Göran Kauermann
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PDF
Chat
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Nowcasting fatal COVID‐19 infections on a regional level in Germany
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2020
|
Marc Schneble
Giacomo De Nicola
Göran Kauermann
Ursula Berger
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PDF
Chat
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A Dynamic Separable Network Model with Actor Heterogeneity: An Application to Global Weapons Transfers
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2020
|
Michael Lebacher
Paul W. Thurner
Göran Kauermann
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On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany
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2020
|
Cornelius Fritz
Göran Kauermann
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Regional now- and forecasting for data reported with delay: A case study in COVID-19 infections
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2020
|
Nicola Gd
Marc Schneble
Göran Kauermann
Uwe Berger
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Mixture Models and Networks -- Overview of Stochastic Blockmodelling
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2020
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Giacomo De Nicola
Benjamin Sischka
Göran Kauermann
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Separable and Semiparametric Network-based Counting Processes applied to the International Combat Aircraft Trades
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2020
|
Cornelius Fritz
Paul W. Thurner
Göran Kauermann
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PDF
Chat
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A general framework for prediction in penalized regression
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2020
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Alba Carballo
Maŕıa Durbán
Göran Kauermann
Dae‐Jin Lee
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Estimation of Latent Network Flows in Bike-Sharing Systems.
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2020
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Marc Schneble
Göran Kauermann
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Semi-parametric regression when some (expensive) covariates are missing by design
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2020
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Göran Kauermann
Mehboob Ali
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Regional now- and forecasting for data reported with delay: Towards surveillance of COVID-19 infections
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2020
|
Giacomo De Nicola
Marc Schneble
Göran Kauermann
Ursula Berger
|
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Mixture Models and Networks -- Overview of Stochastic Blockmodelling
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2020
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Giacomo De Nicola
Benjamin Sischka
Göran Kauermann
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Estimation of Latent Network Flows in Bike-Sharing Systems
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2020
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Marc Schneble
Göran Kauermann
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+
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Intensity Estimation on Geometric Networks with Penalized Splines
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2020
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Marc Schneble
Göran Kauermann
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PDF
Chat
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Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time
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2019
|
Cornelius Fritz
Michael Lebacher
Göran Kauermann
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Data Science – Einige Gedanken aus Sicht eines Statistikers
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2019
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Göran Kauermann
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Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects
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2019
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Sevag Kevork
Göran Kauermann
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In Search of Lost Edges: A Case Study on Reconstructing FInancial Networks
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2019
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Michael Lebacher
Samantha Cook
Nadja Klein
Göran Kauermann
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In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
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2019
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Michael Lebacher
Samantha Cook
Nadja Klein
Göran Kauermann
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A smooth dynamic network model for patent collaboration data
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2019
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Verena Bauer
Dietmar Harhoff
Göran Kauermann
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Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time.
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2019
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Cornelius Fritz
Michael Lebacher
Göran Kauermann
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Bayesian and Spline based Approaches for (EM based) Graphon Estimation
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2019
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Göran Kauermann
Benjamin Sischka
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EM based smooth Graphon Estimation using Bayesian and Spline based Approaches
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2019
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Göran Kauermann
Benjamin Sischka
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A note on parallel sampling in Markov graphs
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2019
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Verena Bauer
Karl Fürlinger
Göran Kauermann
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Censored Regression for Modelling International Small Arms Trading and its "Forensic" Use for Exploring Unreported Trades
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2019
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Michael Lebacher
Paul W. Thurner
Göran Kauermann
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Regression-based Network Reconstruction with Nodal and Dyadic Covariates and Random Effects
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2019
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Michael Lebacher
Göran Kauermann
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Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects
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2019
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Sevag Kevork
Göran Kauermann
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+
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In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
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2019
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Michael Lebacher
Samantha Cook
Nadja Klein
Göran Kauermann
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A smooth dynamic network model for patent collaboration data
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2019
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Verena Bauer
Dietmar Harhoff
Göran Kauermann
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Data Science: a proposal for a curriculum
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2018
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Göran Kauermann
Thomas Seidl
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International Arms Trade: A Dynamic Separable Network Model With Heterogeneity Components
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2018
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Michael Lebacher
Paul W. Thurner
Göran Kauermann
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A Dynamic Separable Network Model with Actor Heterogeneity: An Application to Global Weapons Transfers
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2018
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Michael Lebacher
Paul W. Thurner
Göran Kauermann
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Exploring Dependence Structures in the International Arms Trade Network
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2018
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Michael Lebacher
Göran Kauermann
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A Dynamic Separable Network Model with Actor Heterogeneity: An Application to Global Weapons Transfers
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2018
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Michael Lebacher
Paul W. Thurner
Göran Kauermann
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PDF
Chat
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Stable exponential random graph models with non-parametric components for large dense networks
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2016
|
Stephanie Thiemichen
Göran Kauermann
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Statistik, Data Science und Big Data
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2016
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Göran Kauermann
Helmut Küchenhoff
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Stable Exponential Random Graph Models with Non-parametric Components for Large Dense Networks
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2016
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Stephanie Thiemichen
Göran Kauermann
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PDF
Chat
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Bayesian exponential random graph models with nodal random effects
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2016
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Stephanie Thiemichen
Nial Friel
Alberto Caimo
Göran Kauermann
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A short note on quantile and expectile estimation in unequal probability samples
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2016
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Linda Schulze Waltrup
Göran Kauermann
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Stable Exponential Random Graph Models with Non-parametric Components for Large Dense Networks
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2016
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Stephanie Thiemichen
Göran Kauermann
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Smooth expectiles for panel data using penalized splines
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2015
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Linda Schulze Waltrup
Göran Kauermann
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Forecasting in nonlinear univariate time series using penalized splines
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2015
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Michael Wegener
Göran Kauermann
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PDF
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Expectile and quantile regression—David and Goliath?
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2014
|
Linda Schulze Waltrup
Fabian Sobotka
Thomas Kneib
Göran Kauermann
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Generalized Linear Models: Overview
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2014
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Göran Kauermann
John Norrie
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Bayesian Exponential Random Graph Models with Nodal Random Effects
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2014
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Stephanie Thiemichen
Nial Friel
Alberto Caimo
Göran Kauermann
|
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PDF
Chat
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Objective Bayesian Model Selection in Generalized Additive Models With Penalized Splines
|
2014
|
Daniel Sabanés Bové
Leonhard Held
Göran Kauermann
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Bayesian Exponential Random Graph Models with Nodal Random Effects
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2014
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Stephanie Thiemichen
Nial Friel
Alberto Caimo
Göran Kauermann
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Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas
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2013
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Göran Kauermann
Renate Meyer
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Flexible pair-copula estimation in D-vines using bivariate penalized splines
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2013
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Göran Kauermann
Christian Schellhase
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Flexible Copula Density Estimation with Penalized Hierarchical B‐splines
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2013
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Göran Kauermann
Christian Schellhase
David Ruppert
|
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PDF
Chat
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On confidence intervals for semiparametric expectile regression
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2011
|
Fabian Sobotka
Göran Kauermann
Linda Schulze Waltrup
Thomas Kneib
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To move or not to move to find a new job: spatial duration time model with dynamic covariate effects
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2011
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Göran Kauermann
Nina Westerheide
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Density estimation and comparison with a penalized mixture approach
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2011
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Christian Schellhase
Göran Kauermann
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+
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Hyper-g Priors for Generalised Additive Model Selection with Penalised Splines
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2011
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Daniel Sabanés Bové
Leonhard Held
Göran Kauermann
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Hyper-g priors for generalised additive model selection
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2011
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Daniel Sabanés Bové
Leonhard Held
Göran Kauermann
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Mixtures of g-Priors for Generalised Additive Model Selection with Penalised Splines
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2011
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Daniel Sabanés Bové
Leonhard Held
Göran Kauermann
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Mehrstufige und mehrphasige Verfahren
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2010
|
Göran Kauermann
Helmut Küchenhoff
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+
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Probleme in der Anwendung
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2010
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Göran Kauermann
Helmut Küchenhoff
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Modellbasierte Stichprobenverfahren
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2010
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Göran Kauermann
Helmut Küchenhoff
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Parsimonious Classification Via Generalized Linear Mixed Models
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2010
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Göran Kauermann
John T. Ormerod
M. P. Wand
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Penalized Splines, Mixed Models and Bayesian Ideas
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2009
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Göran Kauermann
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Functional variance estimation using penalized splines with principal component analysis
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2009
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Göran Kauermann
Michael Wegener
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Full Time or Part Time Reemployment: A Competing Risk Model With Frailties and Smooth Effects Using a Penalty Based Approach
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2009
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Göran Kauermann
Pavel Khomski
|
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PDF
Chat
|
Bootstrapping for Penalized Spline Regression
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2009
|
Göran Kauermann
Gerda Claeskens
Jean D. Opsomer
|
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PDF
Chat
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Some Asymptotic Results on Generalized Penalized Spline Smoothing
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2008
|
Göran Kauermann
Tatyana Krivobokova
Ludwig Fahrmeir
|
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Gedanken zur Statistikausbildung an deutschen Hochschulen
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2008
|
Göran Kauermann
Hans Peter Wolf
|
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PDF
Chat
|
Fast Adaptive Penalized Splines
|
2008
|
Tatyana Krivobokova
Ciprian M. Crainiceanu
Göran Kauermann
|
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PDF
Chat
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Non-Parametric Small Area Estimation Using Penalized Spline Regression
|
2008
|
Jean D. Opsomer
Gerda Claeskens
Maria Giovanna Ranalli
Göran Kauermann
F. Jay Breidt
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A Note on Penalized Spline Smoothing With Correlated Errors
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2007
|
Tatyana Krivobokova
Göran Kauermann
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Statistical consulting at German universities: Results of a survey
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2007
|
Michael Windmann
Göran Kauermann
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Stacked Laplace-EM algorithm for duration models with time-varying and random effects
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2007
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Göran Kauermann
Ronghui Xu
Florin Vaida
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MODEL SELECTION FOR PENALIZED SPLINE SMOOTHING USING AKAIKE INFORMATION CRITERIA
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2007
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Carrie Wager
Florin Vaida
Göran Kauermann
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Nonparametric Models and Their Estimation
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2007
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Göran Kauermann
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A Partial Likelihood Approach to Smooth Estimation of Dynamic Covariate Effects using Penalised Splines
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2007
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Denise Scott Brown
Göran Kauermann
Ian Ford
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Some Asymptotic Results on Generalized Penalized Spline Smoothing
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2007
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Göran Kauermann
Tatyana Krivobokova
Ludwig Fahrmeir
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Generalized Linear Models
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2006
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Göran Kauermann
John Norrie
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Nonparametric models and their estimation
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2006
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Göran Kauermann
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Additive two-way hazards model with varying coefficients
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2006
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Göran Kauermann
Pavel Khomski
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Generalized Linear Models
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2005
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Göran Kauermann
John Norrie
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Penalized spline smoothing in multivariable survival models with varying coefficients
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2004
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Göran Kauermann
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Generalized Cross-Validation for Bandwidth Selection of Backfitting Estimates in Generalized Additive Models
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2004
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Göran Kauermann
Jean D. Opsomer
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A Smooth Test in Proportional Hazard Survival Models Using Local Partial Likelihood Fitting
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2003
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Göran Kauermann
Ursula Berger
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A note on smoothing parameter selection for penalized spline smoothing
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2003
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Göran Kauermann
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Local Likelihood Estimation in Generalized Additive Models
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2003
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Göran Kauermann
Jean D. Opsomer
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Generalized linear random effects models with varying coefficients
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2003
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Gerhard Tutz
Göran Kauermann
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Modelling data from inside the Earth: local smoothing of mean and dispersion structure in deep drill data
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2003
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Göran Kauermann
Helmut Küchenhoff
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Semi- and Nonparametric Modeling of Ordinal Data
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2003
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Göran Kauermann
Gerhard Tutz
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On a Small Sample Adjustment for the Profile Score Function in Semiparametric Smoothing Models
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2002
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Göran Kauermann
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A Note on the Efficiency of Sandwich Covariance Matrix Estimation
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2001
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Göran Kauermann
Raymond J. Carroll
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A fast method for implementing Generalized Cross-Validation in multi-dimensional nonparametric regression
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2001
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Göran Kauermann
Jean D. Opsomer
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Edge Preserving Smoothing by Local Mixture Modelling
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2001
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Göran Kauermann
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Testing Generalized Linear and Semiparametric Models Against Smooth Alternatives
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2001
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Göran Kauermann
Gerhard Tutz
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Modeling Longitudinal Data with Ordinal Response by Varying Coefficients
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2000
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Göran Kauermann
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Standard Errors for EM Estimates in Generalized Linear Models with Random Effects
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2000
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Herwig Friedl
Göran Kauermann
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Semiparametric Modeling of Ordinal Data
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2000
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Göran Kauermann
Gerhard Tutz
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The Sandwich Variance Estimator: Efficiency Properties and Coverage Probability of Confidence Intervals
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2000
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Göran Kauermann
Raymond J. Carroll
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Local likelihood estimation in varying-coefficient models including additive bias correction
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2000
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Göran Kauermann
Gerhard Tutz
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BOOTSTRAP CONFIDENCE INTERVALS FOR LOCAL LIKELIHOOD, LOCAL ESTIMATING EQUATIONS AND VARYING COEFFICIENT MODELS
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2000
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Christian D. Galindo
Göran Kauermann
Hua Liang
Raymond J. Carroll
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On model diagnostics using varying coefficient models
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1999
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Göran Kauermann
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Standard Errors for EM Estimates in Variance Component Models
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1999
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Herwig Friedl
Göran Kauermann
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The efficiency of bias-corrected estimators for nonparametric kernel estimation based on local estimating equations
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1998
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Göran Kauermann
Marlene Müller
Raymond J. Carroll
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Locally Weighted Least Squares in Categorical Varying-Coefficient Models
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1998
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Gerhard Tutz
Göran Kauermann
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A NOTE ON MULTIVARIATE LOGISTIC MODELS FOR CONTINGENCY TABLES
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1997
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Göran Kauermann
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Local Estimators in Multivariate Generalized Linear Models with Varying Coefficients
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1997
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Gerhard Tutz
Göran Kauermann
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The efficiency of bias-corrected estimators for nonparametric kernel estimation based on local estimating equations
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1997
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Göran Kauermann
Marlene Müller
Raymond J. Carroll
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