Thomas Züger

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All published works

Action	Title	Year	Authors
+	Modeling longitudinal dynamics of comorbidities	2021	Basil Maag Stefan Feuerriegel Mathias Kraus Maytal Saar‐Tsechansky Thomas Züger
+ PDF Chat	Improving heart rate variability measurements from consumer smartwatches with machine learning	2019	Martin Maritsch Caterina Bérubé Mathias Kraus Vera Lehmann Thomas Züger Stefan Feuerriegel Tobias Kowatsch Felix Wortmann

Common Coauthors

Coauthor	Papers Together
Stefan Feuerriegel	2
Mathias Kraus	2
Martin Maritsch	1
Maytal Saar‐Tsechansky	1
Vera Lehmann	1
Felix Wortmann	1
Basil Maag	1
Caterina Bérubé	1
Tobias Kowatsch	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Analysis of Longitudinal Data of Epileptic Seizure Counts – A Two‐State Hidden Markov Regression Approach	2001	Peiming Wang Martin L. Puterman	1
+	Graph-Coupled HMMs for Modeling the Spread of Infection	2012	Wen Dong Alex Pentland Katherine Heller	1
+	Hidden Markov Models for Longitudinal Comparisons	2005	Steven L. Scott Gareth James Catherine A. Sugar	1
+ PDF Chat	Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling	2005	Ajay Jasra Chris Holmes David A. Stephens	1
+	AN INTRODUCTION TO HIDDEN MARKOV MODELS AND BAYESIAN NETWORKS	2001	Zoubin Ghahramani	1
+ PDF Chat	A Coupled Hidden Markov Model for Disease Interactions	2013	Chris Sherlock Tatiana Xifara Sandra Telfer Michael Begon	1
+ PDF Chat	Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data	2014	Andrew Bell Kelvyn Jones	1
+	The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo	2011	Matthew D. Hoffman Andrew Gelman	1
+	Multistate Markov models for disease progression with classification error	2003	Christopher Jackson Linda Sharples Simon G. Thompson Stephen W. Duffy Elisabeth Couto	1
+ PDF Chat	Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC	2016	Aki Vehtari Andrew Gelman Jonah Gabry	1
+	On disaggregating between-person and within-person effects with longitudinal data using multilevel models.	2015	Lijuan Peggy Wang Scott E. Maxwell	1
+ 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	1
+	Visualization in Bayesian Workflow	2019	Jonah Gabry Daniel Simpson Aki Vehtari Michael Betancourt Andrew Gelman	1
+	Convolutional Recurrent Neural Networks for Electrocardiogram Classification	2017	Martin Zihlmann Dmytro Perekrestenko Michael Tschannen	1
+	An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference	2018	Vianey Leos‐Barajas Théo Michelot	1
+ PDF Chat	A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models	2018	Jeff Craley Emily L. Johnson Archana Venkataraman	1
+ PDF Chat	Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models	2019	Panayiota Touloupou Bärbel Finkenstädt Simon E. F. Spencer	1
+	Convolutional Recurrent Neural Networks for Electrocardiogram Classification	2017	Martin Zihlmann Dmytro Perekrestenko Michael Tschannen	1
+	The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo	2014	Matthew D. Homan Andrew Gelman	1
+	Graph-Coupled HMMs for Modeling the Spread of Infection	2012	Wen Dong Alex Pentland Katherine Heller	1
+	TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records	2019	Ardavan Afshar Ioakeim Perros Haesun Park Christopher R. deFilippi Xiaowei Yan Walter F. Stewart Joyce C. Ho Jimeng Sun	1
+	The No-U-turn sampler	2014	D HomanMatthew GelmanAndrew	1
+	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes	2020	Zhaozhi Qian Ahmed M. Alaa Alexis Bellot Jem Rashbass Mihaela van der Schaar	1
+	TASTE	2020	Ardavan Afshar Ioakeim Perros Haesun Park Christopher R. deFilippi Xiaowei Yan Walter F. Stewart Joyce C. Ho Jimeng Sun	1
+ PDF Chat	Multivariate Hidden Markov Models for disease progression	2020	Andrea Martino Giuseppina Guatteri Anna Maria Paganoni	1
+ PDF Chat	A primer on coupled state-switching models for multiple interacting time series	2020	Jennifer Pohle Roland Langrock Mihaela van der Schaar Ruth King Frants H. Jensen	1
+ PDF Chat	Hidden Markov models for alcoholism treatment trial data	2010	Kenneth E. Shirley Dylan S. Small Kevin G. Lynch Stephen A. Maisto David W. Oslin	1
+	Estimating Average Treatment Effects via Orthogonal Regularization.	2021	Tobias Hatt Stefan Feuerriegel	1
+ PDF Chat	Estimating Risk-Adjusted Hospital Performance	2020	Eva van Weenen Stefan Feuerriegel	1
+ PDF Chat	AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units	2021	Yılmazcan Özyurt Mathias Kraus Tobias Hatt Stefan Feuerriegel	1
+ PDF Chat	Estimating Average Treatment Effects via Orthogonal Regularization	2021	Tobias Hatt Stefan Feuerriegel	1
+	Bayesian data analysis	2017	Mark Andrews Thom Baguley	1
+	Analysis of Longitudinal Data of Epileptic Seizure Counts – A Two-State Hidden Markov Regression ApproachThis research is partially supported by NTU grant RCC2/96 and NSERC grant OGP0005527. We sincerely thank two anonymous referees for an extremely insightful review of an earlier draft of this article.	2001	Peiming Wang Martin L. Puterman	1