Thomas Augustin

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All published works

Action	Title	Year	Authors
+ PDF Chat	Statistical Multicriteria Benchmarking via the GSD-Front	2024	Christoph Jansen Georg Schollmeyer Julian Rodemann Hannah Blocher Thomas Augustin
+ PDF Chat	Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration	2024	Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale Julia Herbinger Bernd Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio
+	Introducing the Treatment Decision Framework (Treadef) – a Decision Theoretic Approach to Using Evaluation Study Data to Inform Individual Treatment Decisions	2024	Elisabeth Barbara Kraus Florian Pargent Sven Hilbert Thomas Augustin
+	Approximately Bayes-Optimal Pseudo Label Selection	2023	Julian Rodemann Jann Goschenhofer Emilio Dorigatti Thomas Nagler Thomas Augustin
+	In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning	2023	Julian Rodemann Christoph Jansen Georg Schollmeyer Thomas Augustin
+ PDF Chat	Multi-target Decision Making Under Conditions of Severe Uncertainty	2023	Christoph Jansen Georg Schollmeyer Thomas Augustin
+	Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement	2023	Christoph Jansen Georg Schollmeyer Hannah Blocher Julian Rodemann Thomas Augustin
+	Consideration Set Sampling to Analyze Undecided Respondents	2023	Dominik Kreiß Thomas Augustin
+	Evaluating machine learning models in non-standard settings: An overview and new findings	2023	Roman Hornung Malte Nalenz Lennart Schneider Andreas Bender Ludwig Bothmann Bernd Bischl Thomas Augustin Anne‐Laure Boulesteix
+ PDF Chat	Nachruf Hans Schneeweiß	2022	Thomas Augustin Helmut Küchenhoff Matthias Schmid
+ PDF Chat	Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty	2022	Christoph Jansen Hannah Blocher Thomas Augustin Georg Schollmeyer
+ PDF Chat	Accounting for Gaussian Process Imprecision in Bayesian Optimization	2022	Julian Rodemann Thomas Augustin
+	Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model	2022	Aziz Omar Timo von Oertzen Thomas Augustin
+	Statistical Comparisons of Classifiers by Generalized Stochastic Dominance	2022	Christoph Jansen Malte Nalenz Georg Schollmeyer Thomas Augustin
+	Multi-Target Decision Making under Conditions of Severe Uncertainty	2022	Christoph Jansen Georg Schollmeyer Thomas Augustin
+ PDF Chat	Statistics with Imprecise Probabilities—A Short Survey	2021	Thomas Augustin
+ PDF Chat	Accounting for Gaussian Process Imprecision in Bayesian Optimization	2021	Julian Rodemann Thomas Augustin
+	Discriminative Power Lasso -- Incorporating Discriminative Power of Genes into Regularization-Based Variable Selection	2021	Cornelia Fütterer Malte Nalenz Thomas Augustin
+	Handling missing data in large databases	2021	Martin Spieß Thomas Augustin
+	Practical Relevance: A Formal Definition.	2021	Patrick Schwaferts Thomas Augustin
+	Bayes Factors can only Quantify Evidence w.r.t. Sets of Parameters, not w.r.t. (Prior) Distributions on the Parameter.	2021	Patrick Schwaferts Thomas Augustin
+	How to Guide Decisions with Bayes Factors	2021	Patrick Schwaferts Thomas Augustin
+	Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters -- Some Ideas Based on Set-Valued Data for the 2021 German Federal Election	2021	Dominik Kreiß Thomas Augustin
+	Practical Relevance: A Formal Definition	2021	Patrick Schwaferts Thomas Augustin
+	How to Guide Decisions with Bayes Factors	2021	Patrick Schwaferts Thomas Augustin
+	Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty	2021	Christoph Jansen Hannah Blocher Thomas Augustin Georg Schollmeyer
+	Bayes Factors can only Quantify Evidence w.r.t. Sets of Parameters, not w.r.t. (Prior) Distributions on the Parameter	2021	Patrick Schwaferts Thomas Augustin
+	Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters -- Some Ideas Based on Set-Valued Data for the 2021 German Federal Election	2021	Dominik Kreiß Thomas Augustin
+	Accounting for Gaussian Process Imprecision in Bayesian Optimization	2021	Julian Rodemann Thomas Augustin
+	Bayesian Decisions using Regions of Practical Equivalence (ROPE): Foundations	2020	Patrick Schwaferts Thomas Augustin
+	Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability	2019	Aziz Omar Thomas Augustin
+ PDF Chat	Imprecise Imputation: A Nonparametric Micro Approach Reflecting the Natural Uncertainty of Statistical Matching with Categorical Data	2019	Eva Endres Paul Fink Thomas Augustin
+	Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information	2019	Luisa Theresa Ebner Patrick Schwaferts Thomas Augustin
+	Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations	2019	Julia Plaß Marco Cattaneo Thomas Augustin Georg Schollmeyer Christian Heumann
+	Binary data fusion using undirected probabilistic graphical models: Combining statisticalmatching and the Ising model	2019	Eva Endres Katrin Newger Thomas Augustin
+	Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability	2018	Aziz Omar Thomas Augustin
+	Kurt Weichselberger's contribution to imprecise probabilities and statistical inference	2018	Thomas Augustin Rudolf Seising
+	Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept	2018	Thomas Augustin
+	Towards a reliable categorical regression analysis for non-randomly coarsened observations: An analysis with German labour market data	2017	Julia Plaß Marco Cattaneo Thomas Augustin Georg Schollmeyer Christian Heumann
+	On the testability of coarsening assumptions: A hypothesis test for subgroup independence	2017	Jan L. Plass Marco Cattaneo Georg Schollmeyer Thomas Augustin
+	Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems	2017	Georg Schollmeyer Christoph Jansen Thomas Augustin
+	Kurt Weichselberger's Contribution to Imprecise Probabilities	2017	Thomas Augustin Rudolf Seising
+	Generalized) Linear Regression on Microaggregated Data	2017	Paul Fink Thomas Augustin
+	Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence	2016	Julia Plaß Marco Cattaneo Georg Schollmeyer Thomas Augustin
+	Proceedings of the 9th International Symposium on Imprecise Probability: Theories and Applications	2015	Thomas Augustin Serena Doria Enrique Miranda Erik Quaeghebeur
+	Statistical Modelling under Epistemic Data Imprecision: Some Results on Estimating Multinomial Distributions and Logistic Regression for Coarse Categorical Data	2015	Julia Plaß Thomas Augustin Marco Cattaneo Georg Schollmeyer
+	Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data	2014	Georg Schollmeyer Thomas Augustin
+	Wiley Series in Probability and Statistics	2014	Thomas Augustin Frank P. A. Coolen Gert de Cooman Matthias C. M. Troffaes
+	Correcting the Optimal Resampling‐Based Error Rate by Estimating the Error Rate of Wrapper Algorithms	2013	Christoph Bernau Thomas Augustin Anne‐Laure Boulesteix
+	On Sharp Identification Regions for Regression Under Interval Data	2013	Georg Schollmeyer Thomas Augustin
+	Partially identified prevalence estimation under misclassification using the kappa coefficient	2012	Helmut Küchenhoff Thomas Augustin Anne Kunz
+	Foundations of Probability	2011	Thomas Augustin Marco Cattaneo
+	On Prior-Data Conflict in Predictive Bernoulli Inferences	2011	GM Gero Walter Thomas Augustin Fpa Frank Coolen
+	Partially identied prevalence estimation under misclassication using the Kappa coecient	2011	Thomas Augustin Anne Kunz
+	On the impact of robust statistics on imprecise probability models: A review	2010	Thomas Augustin Robert Hable
+	A Robust Alternative to the Schemper-Henderson Estimator of Prediction Error	2010	Matthias Schmid Thomas Hielscher Thomas Augustin Olaf Gefeller
+	Extensions of Narens' theory of ratio magnitude estimation	2010	Thomas Augustin
+	Correction for Covariate Measurement Error in Nonparametric Longitudinal Regression	2010	David Rummel Thomas Augustin Helmut Küchenhoff
+ PDF Chat	Bayesian Linear Regression — Different Conjugate Models and Their (In)Sensitivity to Prior-Data Conflict	2009	Gero Walter Thomas Augustin
+ PDF Chat	A Review on Joint Models in Biometrical Research	2009	Ain Neuhaus Thomas Augustin Christian Heumann David Daumer
+	Bayesian linear regression	2009	Gero Walter Thomas Augustin
+	Imprecision and Prior-Data Conflict in Generalized Bayesian Inference	2009	Gero Walter Thomas Augustin
+	Imprecision in Statistical Theory and Practice	2009	Pauline Coolen‐Schrijner Frank P. A. Coolen Matthias C. M. Troffaes Thomas Augustin
+	Adaptive Selection of Extra Cutpoints—Towards Reconciling Robustness and Interpretability in Classification Trees	2009	Carolin Strobl Thomas Augustin
+ PDF Chat	On design-weighted local fitting and its relation to the Horvitz-Thompson estimator	2009	Jochen Einbeck Thomas Augustin
+ PDF Chat	Conditional variable importance for random forests	2008	Carolin Strobl Anne‐Laure Boulesteix Thomas Kneib Thomas Augustin Achim Zeileis
+	Bayesian learning for a class of priors with prescribed marginals	2008	Hermann Held Thomas Augustin Elmar Kriegler
+	Stevens’ power law and the problem of meaningfulness	2008	Thomas Augustin
+ PDF Chat	Regression Calibration for Cox Regression Under Heteroscedastic Measurement Error — Determining Risk Factors of Cardiovascular Diseases from Error-prone Nutritional Replication Data	2008	Thomas Augustin Angela Döring David Rummel
+	Linear regression analysis under sets of conjugate priors	2007	GM Gero Walter Thomas Augustin Annette Peters
+	Some Recent Advances in Measurement Error Models and Methods	2007	Hans Schneeweiß Thomas Augustin
+ PDF Chat	Unbiased split selection for classification trees based on the Gini Index	2006	Carolin Strobl Anne‐Laure Boulesteix Thomas Augustin
+	Decision making under incomplete data using the imprecise Dirichlet model	2006	Lev V. Utkin Thomas Augustin
+ PDF Chat	Some recent advances in measurement error models and methods	2006	Hans Schneeweiß Thomas Augustin
+ PDF Chat	Generating survival times to simulate Cox proportional hazards models by Ralf Bender, Thomas Augustin and Maria Blettner,Statistics in Medicine 2005;24:1713–1723	2006	Ralf Bender Thomas Augustin Maria Blettner
+ PDF Chat	Generating survival times to simulate Cox proportional hazards models	2005	Ralf Bender Thomas Augustin Maria Blettner
+	ON DESIGN-WEIGHTED LOCAL FITTING AND ITS RELATION TO THE HORVITZ-THOMPSON ESTIMATOR	2005	Jochen Einbeck Thomas Augustin
+	Powerful algorithms for decision making under partial prior information and general ambiguity attitudes	2005	Lev V. Utkin Thomas Augustin
+	Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model	2005	Frank P. A. Coolen Thomas Augustin
+	Decision making under incomplete data using the imprecise Dirichlet model.	2005	Lev V. Utkin Thomas Augustin
+	Bradley — Terry — Luce models to incorporate within‐pair order effects: Representation and uniqueness theorems	2004	Thomas Augustin
+	Optimal decisions under complex uncertainty – basic notions and a general algorithm for data‐based decision making with partial prior knowledge described by interval probability	2004	Thomas Augustin
+	A bias analysis of Weibull models under heaped data	2004	Thomas Augustin Joachim Wolff
+	P2.57: Modelling Time to Progression in Multiple Sclerosis	2004	Anneke Neuhaus Thomas Augustin Martin Däumer Ludwig Kappos Helmut Kuechenhoff Chris H. Polman
+ PDF Chat	An Exact Corrected Log‐Likelihood Function for Cox's Proportional Hazards Model under Measurement Error and Some Extensions	2004	Thomas Augustin
+	Neyman–Pearson testing under interval probability by globally least favorable pairs	2002	Thomas Augustin
+	Cox’s Proportional Hazards Model under Covariate Measurement Error	2002	Thomas Augustin Regina Schwarz
+ PDF Chat	Some Basic Results on the Extension of Quasi-likelihood Based Measurement Error Correction to Multivariate and Flexible Structural Models	2002	Thomas Augustin
+	Cox's Proportional Hazards Model under Covariate Measurement Error - A Review and Comparison of Methods	2001	Thomas Augustin Regina Schwarz
+	Correcting for measurement error in parametric duration models by quasi-likelihood	1999	Thomas Augustin
+	On Data-Based Checking of Hypotheses in the Presence of Uncertain Knowledge	1999	Thomas Augustin

Common Coauthors

Coauthor	Papers Together
Georg Schollmeyer	16
Christoph Jansen	9
Patrick Schwaferts	8
Julian Rodemann	8
Marco Cattaneo	6
Hannah Blocher	4
Julia Plaß	4
Anne‐Laure Boulesteix	4
Lev V. Utkin	3
Helmut Küchenhoff	3
Christian Heumann	3
Malte Nalenz	3
Dominik Kreiß	3
Carolin Strobl	3
Gero Walter	3
Aziz Omar	3
Frank P. A. Coolen	3
Hans Schneeweiß	2
Bernd Bischl	2
Matthias Schmid	2
Rudolf Seising	2
David Rummel	2
Matthias C. M. Troffaes	2
Anne Kunz	2
Eva Endres	2
Paul Fink	2
GM Gero Walter	2
Regina Schwarz	2
Ralf Bender	2
Jochen Einbeck	2
Sven Hilbert	1
Katrin Newger	1
Emilio Dorigatti	1
Hermann Held	1
Lennart Schneider	1
Thomas Hielscher	1
Annette Peters	1
Martin Spieß	1
Christoph Bernau	1
Yusuf Sale	1
Federico Croppi	1
Fpa Frank Coolen	1
Maria Blettner	1
Maria Blettner	1
Helmut Kuechenhoff	1
Chris H. Polman	1
Anneke Neuhaus	1
Martin Däumer	1
Joachim Wolff	1
Angela Döring	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Elementare Grundbegriffe einer Allgemeineren Wahrscheinlichkeitsrechnung, vol. I, Intervallwahrscheinlichkeit als Umfassendes Konzept	2003	Frank P. A. Coolen	16
+	Inferences from Multinomial Data: Learning About a Bag of Marbles	1996	Peter Walley	14
+	Partial Identification of Probability Distributions	2003	Charles F. Manski	14
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	11
+	A Mathematical Theory of Evidence	2020	Glenn Shafer	10
+	Decision making under incomplete data using the imprecise Dirichlet model	2006	Lev V. Utkin Thomas Augustin	9
+	Ignorance and uncertainty regions as inferential tools in a sensitivity analysis	2006	Stijn Vansteelandt Els Goetghebeur Michael G. Kenward Geert Molenberghs	9
+ PDF Chat	Ignorability and Coarse Data	1991	Daniel F. Heitjan Donald B. Rubin	9
+ PDF Chat	Conservative Inference Rule for Uncertain Reasoning under Incompleteness	2009	Marco Zaffalon Enrique Miranda	9
+ PDF Chat	Decision making under uncertainty using imprecise probabilities	2006	Matthias C. M. Troffaes	8
+ PDF Chat	Partial identification of probability distributions with misclassified data	2008	Francesca Molinari	7
+	An introduction to the imprecise Dirichlet model for multinomial data	2004	Jean‐Marc Bernard	7
+	Corrected score function for errors-in-variables models: Methodology and application to generalized linear models	1990	T. Nakamura	6
+	Estimation in weibull regression model with measurement error	1999	Patricia Giménez Heleno Bolfarine Enrico A. Colosimo	6
+	Partial Identification and Robust Treatment Choice: An Application to Young Offenders	2009	Jörg Stoye	6
+	Statistical reasoning with set-valued information: Ontic vs. epistemic views	2013	Inés Couso Didier Dubois	6
+	Estimating Survival Curves Under Proportional Hazards Model with Covariate Measurement Errors	1998	Fan Hui Kong Weihua Huang Xiaoming Li	6
+	Estimating the Parameters in the Cox Model When Covariate Variables are Measured with Error	1998	Ping Hu Anastasios A. Tsiatis Marie Davidian	6
+	Imprecision and Prior-Data Conflict in Generalized Bayesian Inference	2009	Gero Walter Thomas Augustin	6
+	Imprecise probability models for inference in exponential families	2005	Erik Quaeghebeur Gert de Cooman	6
+	Unbiased scores in proportional hazards regression with covariate measurement error	1998	Jeffrey S. Buzas	6
+	Cox Regression with Accurate Covariates Unascertainable: A Nonparametric-Correction Approach	2000	Yijian Huang C. Y. Wang	6
+	CONSISTENT ESTIMATION IN COX PROPORTIONAL HAZARDS MODEL WITH COVARIATE MEASUREMENT ERRORS	1999	Fan Hui Kong Minggao Gu	5
+	Neyman–Pearson testing under interval probability by globally least favorable pairs	2002	Thomas Augustin	5
+	Likelihood-based Imprecise Regression	2012	Marco Cattaneo Andrea Wiencierz	5
+	Covariate measurement errors and parameter estimation in a failure time regression model	1982	Ross L. Prentice	5
+ PDF Chat	Credible interval estimates for official statistics with survey nonresponse	2015	Charles F. Manski	5
+ PDF Chat	Likelihood decision functions	2013	Marco Cattaneo	5
+ PDF Chat	Robust Bayesian Analysis	2005	Fabrizio Ruggeri David Rı́os Insua J. Martı́n	5
+	The imprecise Dirichlet model	2008	Jean‐Marc Bernard	5
+	Likelihood-based belief function: Justification and some extensions to low-quality data	2013	Thierry Denœux	5
+	Further results on covariate measurement errors in cohort studies with time to response data	1989	Margaret S. Pepe Steven G. Self Ross L. Prentice	5
+ PDF Chat	Multivariate Statistical Modelling Based on Generalized Linear Models	1994	Ludwig Fahrmeir Gerhard Tutz	5
+	Proportional Hazards Model with Covariates Subject to Measurement Error	1992	Tatsufumi Nakamura	5
+	Optimal decisions under complex uncertainty – basic notions and a general algorithm for data‐based decision making with partial prior knowledge described by interval probability	2004	Thomas Augustin	5
+	Theory of probability	1939	Harold Jeffreys R. Bruce Lindsay	5
+	Regression Dilution in the Proportional Hazards Model	1993	Michael D. Hughes	5
+ PDF Chat	Upper and Lower Probabilities Induced by a Multivalued Mapping	1967	A. P. Dempster	5
+	A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX	2005	Helmut Küchenhoff Samuel Mwalili Emmanuel Lesaffre	4
+ PDF Chat	Generating survival times to simulate Cox proportional hazards models	2005	Ralf Bender Thomas Augustin Maria Blettner	4
+ PDF Chat	An Exact Corrected Log‐Likelihood Function for Cox's Proportional Hazards Model under Measurement Error and Some Extensions	2004	Thomas Augustin	4
+ PDF Chat	Confidence Intervals for Partially Identified Parameters	2004	Guido W. Imbens Charles F. Manski	4
+	Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications	2003	Mario Peruggia	4
+	Weibull regression for lifetimes measured with error.	1999	C. J. Skinner Keith Humphreys	4
+	Partially identified prevalence estimation under misclassification using the kappa coefficient	2012	Helmut Küchenhoff Thomas Augustin Anne Kunz	4
+	Some Recent Advances in Measurement Error Models and Methods	2007	Hans Schneeweiß Thomas Augustin	4
+	Statistical Regression With Measurement Error	2000	Sudhir Gupta	4
+	Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments	2003	Paul Gustafson	4
+	Adjusting regression attenuation in the Cox proportional hazards model	1999	Fan Hui Kong	4
+	Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models	1989	Leonard A. Stefanski	4