Martin Modrák

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All published works

Action	Title	Year	Authors
+ PDF Chat	Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity	2023	Martin Modrák Angie H. Moon Shinyoung Kim Paul‐Christian Bürkner Niko Huurre Kateřina Faltejsková Andrew Gelman Aki Vehtari
+	Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity	2022	Martin Modrák Angie H. Moon Shinyoung Kim Paul‐Christian Bürkner Niko Huurre Kateřina Faltejsková Andrew Gelman Aki Vehtari
+	Peer Review #2 of "Analysis and forecasts for trends of COVID-19 in Pakistan using Bayesian models (v0.3)"	2021	Martin Modrák
+	Peer Review #2 of "Analysis and forecasts for trends of COVID-19 in Pakistan using Bayesian models (v0.2)"	2021	Martin Modrák
+	Peer Review #2 of "Analysis and forecasts for trends of COVID-19 in Pakistan using Bayesian models (v0.1)"	2021	Martin Modrák
+	Bayesian Workflow.	2020	Andrew Gelman Aki Vehtari Daniel Simpson Charles C. Margossian Bob Carpenter Yuling Yao Lauren Kennedy Jonah Gabry Paul‐Christian Bürkner Martin Modrák
+	Bayesian Workflow	2020	Andrew Gelman Aki Vehtari Daniel Simpson Charles C. Margossian Bob Carpenter Yuling Yao Lauren Kennedy Jonah Gabry Paul‐Christian Bürkner Martin Modrák
+	Approximate Densities for Sums of Variables: Negative Binomials and Saddlepoint	2019	Martin Modrák
+	Thank you: Statistics as a Journey	2019	Martin Modrák
+	Optional Parameters/Data in Stan	2018	Martin Modrák

Common Coauthors

Coauthor	Papers Together
Andrew Gelman	4
Paul‐Christian Bürkner	4
Aki Vehtari	4
Daniel Simpson	2
Angie H. Moon	2
Charles C. Margossian	2
Yuling Yao	2
Kateřina Faltejsková	2
Lauren Kennedy	2
Jonah Gabry	2
Niko Huurre	2
Shinyoung Kim	2
Bob Carpenter	1
Bob Carpenter	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Adaptive importance sampling in signal processing	2015	Mónica F. Bugallo Luca Martino Jukka Corander	3
+	Forecasting COVID-19	2020	Matjaž Perc Nina Gorišek Miksić Mitja Slavinec Andraž Stožer	3
+	Prediction for the spread of COVID-19 in India and effectiveness of preventive measures	2020	Anuradha Tomar Neeraj Gupta	3
+ PDF Chat	Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis	2020	Zeye Liu Shuai Huang Wenlong Lu Zhanhao Su Xin Yin Huiying Liang Hao Zhang	3
+	The Novel Coronavirus (nCoV)	2021	Július RajÄáni	3
+	Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach	2011	Joyee Ghosh Merlise A. Clyde	3
+	Inferring causal impact using Bayesian structural time-series models	2015	Kay H. Brodersen Fabian Gallusser Jim Koehler Nicolas Rémy Steven L. Scott	3
+	Trend Analysis and Forecasting of COVID-19 outbreak in India	2020	Rajan Gupta Saibal K. Pal	3
+	Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020: ARIMA Model with Machine Learning Approach	2020	Pavan Kumar Himangshu Kalita Shashikanta Patairiya Yagya Datt Sharma Chintan Nanda Meenu Rani Jamal Rahmani Akshaya Srikanth Bhagavathula	3
+	ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA	2020	Kabir Abdulmajeed Monsuru Adeleke Labode Popoola	3
+ PDF Chat	Exponentially Increasing Trend of Infected Patients with COVID-19 in Iran: A Comparison of Neural Network and ARIMA Forecasting Models	2020	Leila Moftakhar Mozhgan Seif Marziyeh Sadat Safe	3
+	Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan	2020	Muhammad Yousaf Khan Samiha Zahir Muhammad Riaz Sardar Muhammad Hussain Kamal Shah	3
+ PDF Chat	A review of multiple try MCMC algorithms for signal processing	2018	Luca Martino	3
+	Markov chain Monte Carlo methods with applications to signal processing	2001	WJ Fitzgerald	3
+	Coronavirus Infections—More Than Just the Common Cold	2020	Catharine I. Paules Hilary D. Marston Anthony S. Fauci	3
+	Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia	2020	Qun Li Xuhua Guan Peng Wu Xiaoye Wang Lei Zhou Yeqing Tong Ruiqi Ren Kathy Leung Eric H. Y. Lau Jessica Y. Wong	3
+ PDF Chat	What to do next to control the 2019-nCoV epidemic?	2020	Fu‐Sheng Wang Chao Zhang	3
+	Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019‐nCoV	2020	Tao Zhou Quan-Hui Liu Zimo Yang Jingyi Liao Kexin Yang Wei Bai Xin Lü Wei Zhang	3
+	Application of the ARIMA model on the COVID-2019 epidemic dataset	2020	Domenico Benvenuto Marta Giovanetti Lazzaro Vassallo Silvia Angeletti Massimo Ciccozzi	3
+	Mass gathering events and reducing further global spread of COVID-19: a political and public health dilemma	2020	Brian McCloskey Alimuddin Zumla Giuseppe Ippolito Lucille Blumberg Paul Arbon Anita Cicero Tina Endericks Poh Lian Lim М Ю Бородина	3
+	Analysis and forecast of COVID-19 spreading in China, Italy and France	2020	Duccio Fanelli Francesco Piazza	3
+ PDF Chat	Validation of Software for Bayesian Models Using Posterior Quantiles	2006	Samantha R. Cook Andrew Gelman Donald B. Rubin	2
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	2
+ PDF Chat	Bayesian workflow for disease transmission modeling in Stan	2021	Léo Grinsztajn Elizaveta Semenova Charles C. Margossian Julien Riou	2
+	Prediction of COVID-19 spreading profiles in South Korea, Italy and Iran by data-driven coding	2020	Choujun Zhan Chi K. Tse Zhikang Lai Tianyong Hao Jing Jing Su	2
+ PDF Chat	Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior	2020	Yan Zhang Brian P. Naughton Howard D. Bondell Brian J. Reich	2
+	Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love	2010	James S. Hodges Brian J. Reich	1
+	Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations	2009	Håvard Rue Sara Martino Nicolás Chopin	1
+ PDF Chat	The formal definition of reference priors	2009	James O. Berger José M. Bernardo Dongchu Sun	1
+	False-Positive Psychology	2011	Joseph P. Simmons Leif D. Nelson Uri Simonsohn	1
+	Manipulating and summarizing posterior simulations using random variable objects	2007	Jouni Kerman Andrew Gelman	1
+	POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES	1996	Andrew Gelman Xiao‐Li Meng Hal S. Stern	1
+	The Automatic Statistician: A Relational Perspective	2015	Yunseong Hwang Jaesik Choi	1
+	Selective inference after cross-validation	2015	Joshua R. Loftus	1
+	Selective Sequential Model Selection	2015	William Fithian Jonathan Taylor Robert Tibshirani Ryan J. Tibshirani	1
+	A Bayesian Approach to Measurement Error Problems in Epidemiology Using Conditional Independence Models	1993	Sylvia Richardson Walter R. Gilks	1
+	Pareto Smoothed Importance Sampling	2015	Aki Vehtari Andrew Gelman Jonah Gabry	1
+ PDF Chat	An intuitive Bayesian spatial model for disease mapping that accounts for scaling	2016	Andrea Riebler Sigrunn H. Sørbye Daniel Simpson Håvard Rue	1
+	Spatial Point Processes	2011	Mark Huber	1
+	A Conceptual Introduction to Hamiltonian Monte Carlo	2017	Michael Betancourt	1
+	Conditional vs marginal estimation of the predictive loss of hierarchical models using WAIC and cross-validation	2017	Russell B. Millar	1
+ PDF Chat	Diagnostic tools for approximate Bayesian computation using the coverage property	2014	Dennis Prangle Michaël G. B. Blum Gordana Popović Scott A. Sisson	1
+	Sparsity information and regularization in the horseshoe and other shrinkage priors	2017	Juho Piironen Aki Vehtari	1
+ PDF Chat	<b>brms</b>: An <i>R</i> Package for Bayesian Multilevel Models Using <i>Stan</i>	2017	Paul‐Christian Bürkner	1
+	Validating Bayesian Inference Algorithms with Simulation-Based Calibration	2018	Sean Talts Michael Betancourt Daniel Simpson Aki Vehtari Andrew Gelman	1
+ PDF Chat	Bayesian aggregation of average data: An application in drug development	2018	Sebastian Weber Andrew Gelman Daniel Lee Michael Betancourt Aki Vehtari Amy Racine-Poon	1
+ PDF Chat	Between the devil and the deep blue sea: Tensions between scientific judgement and statistical model selection	2018	Daniel J. Navarro	1
+	Please Stop Explaining Black Box Models for High Stakes Decisions.	2018	Cynthia Rudin	1
+ PDF Chat	Bayesian Comparison of Latent Variable Models: Conditional Versus Marginal Likelihoods	2019	Edgar C. Merkle Daniel C. Furr Sophia Rabe‐Hesketh	1
+ PDF Chat	Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity	2019	Berna Devezer Luis G. Nardin Bert Baumgaertner Erkan O. Buzbas	1