Riten Mitra

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All published works

Action	Title	Year	Authors
+	Fast Bayesian High-Dimensional Gaussian Graphical Model Estimation	2023	Sagnik Bhadury Riten Mitra Jeremy Gaskins
+ PDF Chat	Count data models and Bayesian shrinkage priors with real-world data applications	2022	Arinjita Bhattacharyya Riten Mitra Shesh Rai
+ PDF Chat	Bayesian Shrinkage Priors in Zero-Inflated and Negative Binomial Regression models with Real World Data Applications of COVID-19 Vaccine, and RNA-Seq	2022	Arinjita Bhattacharyya Riten Mitra N. Shesh Subhadip Pal
+ PDF Chat	Applications of Bayesian shrinkage prior models in clinical research with categorical responses	2022	Arinjita Bhattacharyya Subhadip Pal Riten Mitra N. Shesh
+	Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations	2022	Arnab Ganguly Riten Mitra Jinpu Zhou
+	Additional file 1 of Applications of Bayesian shrinkage prior models in clinical research with categorical responses	2022	Arinjita Bhattacharyya Subhadip Pal Riten Mitra Shesh Rai
+	Prevalence of unmasked and improperly masked behavior in indoor public areas during the COVID-19 pandemic: Analysis of a stratified random sample from Louisville, Kentucky	2021	Seyed M. Karimi Sonali S. Salunkhe Kelsey B. White Bertis B. Little W. Paul McKinney Riten Mitra YuTing Chen Emily R. Adkins Julia A. Barclay Emmanuel Ezekekwu
+	County-level demographic, social, economic, and lifestyle correlates of COVID-19 infection and death trajectories during the first wave of the pandemic in the United States	2021	Natalie Dupré Seyed M. Karimi Charlie H. Zhang Lyndsey Blair Arushi Gupta Lamyaa Mousa A. Alharbi Mariyam Alluhibi Riten Mitra W. Paul McKinney Bertis B. Little
+	Stratified Random Sampling Methodology for Observing Community Mask Use within Indoor Settings: Results from Louisville, Kentucky during the COVID-19 Pandemic	2021	Seyed M. Karimi Sonali S. Salunkhe Kelsey B. White Bertis B. Little W. Paul McKinney Riten Mitra YuTing Chen Emily R. Adkins Julia A. Barclay Emmanuel Ezekekwu
+ PDF Chat	Applications of Bayesian Shrinkage Prior Models in Clinical Research with Categorical Responses	2021	Arinjita Bhattacharyya Subhadip Pal Riten Mitra Shesh Rai
+	Bayesian Decision‐Theoretic Methods for Survival Data using Stochastic Optimization	2020	Riten Mitra Peter Müller Arinjita Bhattacharyya
+ PDF Chat	Bayesian variable selection for multioutcome models through shared shrinkage	2020	Debamita Kundu Riten Mitra Jeremy Gaskins
+ PDF Chat	Conjugate Priors and Posterior Inference for the Matrix Langevin Distribution on the Stiefel Manifold	2019	Subhadip Pal Subhajit Sengupta Riten Mitra Arunava Banerjee
+	A Bayesian Approach for Analyzing Data on the Stiefel Manifold	2019	Subhadip Pal Subhajit Sengupta Riten Mitra Arunava Banerjee
+	Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage	2019	Debamita Kundu Riten Mitra Jeremy Gaskins
+	On computing maximum likelihood estimates for the negative binomial distribution	2019	Udika Bandara Ryan Gill Riten Mitra
+	A Bayesian Approach for Analyzing Data on the Stiefel Manifold	2019	Subhadip Pal Subhajit Sengupta Riten Mitra Arunava Banerjee
+	Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage	2019	Debamita Kundu Riten Mitra Jeremy Gaskins
+	Bayesian multiplicity control for multiple graphs	2017	Riten Mitra Peter Müller Yuan Ji
+	A Bayesian Mixture Model for Clustering on the Stiefel Manifold	2017	Subhajit Sengupta Subhadip Pal Riten Mitra Ying Guo Arunava Banerjee Yuan Ji
+	Bayesian Graphical Models for Differential Pathways	2015	Riten Mitra Peter Müller Yuan Ji
+	Nonparametric Bayesian Inference in Biostatistics	2015	Riten Mitra Peter Mueller
+	Bayesian Nonparametric Models	2015	Peter Müller Riten Mitra

Common Coauthors

Coauthor	Papers Together
Subhadip Pal	8
Arinjita Bhattacharyya	6
N. Shesh	5
Peter Müller	4
Arunava Banerjee	4
Subhajit Sengupta	4
Jeremy Gaskins	4
Seyed M. Karimi	3
Yuan Ji	3
Debamita Kundu	3
W. Paul McKinney	3
Natalie Dupré	3
Bertis B. Little	3
Caleb X. He	2
David Johnson	2
Sonali S. Salunkhe	2
Devin N. Swinney	2
Julia A. Barclay	2
Rebecca Hollenbach	2
Emily R. Adkins	2
Sarah Moyer	2
Kelsey B. White	2
YuTing Chen	2
Martha M. Popescu	2
Dylan M. Hurst	2
Emmanuel Ezekekwu	2
Arushi Gupta	1
Arnab Ganguly	1
Peter Mueller	1
Ying Guo	1
Lyndsey Blair	1
Lamyaa Mousa A. Alharbi	1
Jinpu Zhou	1
Ryan Gill	1
Mariyam Alluhibi	1
Udika Bandara	1
Sagnik Bhadury	1
Charlie H. Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The horseshoe estimator for sparse signals	2010	Carla M. Carvalho Nick Polson James G. Scott	6
+	The Bayesian Lasso	2008	Trevor Park George Casella	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	4
+	The Art of Data Augmentation	2001	David A. van Dyk Xiao‐Li Meng	4
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	4
+	Gene selection using a two-level hierarchical Bayesian model	2004	Kyounghwa Bae Bani K. Mallick	4
+ PDF Chat	A Simple Sampler for the Horseshoe Estimator	2015	Enes Makalic Daniel F. Schmidt	4
+	Bayesian Variable Selection in Linear Regression	1988	Toby J. Mitchell John J. Beauchamp	4
+ PDF Chat	Bayesian Measures of Model Complexity and Fit	2002	David J. Spiegelhalter Nicola Best Bradley P. Carlin Angelika van der Linde	3
+ PDF Chat	Shrinkage priors for Bayesian penalized regression	2019	Sara van Erp Daniel L. Oberski Joris Mulder	3
+	Uniform distribution on a Stiefel manifold	1977	Kanti V. Mardia C. G. Khatri	3
+	Hypergeometric Functions of Scalar Matrix Argument are Expressible in Terms of Classical Hypergeometric Functions	1985	Rameshwar D. Gupta Donald St. P. Richards	3
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	3
+ PDF Chat	Distributions of Matrix Variates and Latent Roots Derived from Normal Samples	1964	A. T. James	3
+	Asymptotic expansions for distributions of the large sample matrix resultant and related statistics on the Stiefel manifold	1991	Yasuko Chikuse	3
+	The Horseshoe+ Estimator of Ultra-Sparse Signals	2016	Anindya Bhadra Jyotishka Datta Nicholas G. Polson Brandon T. Willard	3
+	Hierarchical Shrinkage Priors for Regression Models	2016	Jim E. Griffin Philip J. Brown	3
+	Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction*	2011	Nicholas G. Polson James G. Scott	3
+ PDF Chat	Fast sampling with Gaussian scale mixture priors in high-dimensional regression	2016	Anirban Bhattacharya Antik Chakraborty Bani K. Mallick	3
+ PDF Chat	Maximum Likelihood Estimators for the Matrix Von Mises-Fisher and Bingham Distributions	1979	P. E. Jupp K. V. Mardia	3
+	A Bayesian approach for envelope models	2017	Kshitij Khare Subhadip Pal Zhihua Su	3
+	The von Mises–Fisher Matrix Distribution in Orientation Statistics	1977	C. G. Khatri Kanti V. Mardia	3
+ PDF Chat	Conjugate Priors for Exponential Families	1979	Persi Diaconis Donald Ylvisaker	3
+ PDF Chat	The Geometry of Algorithms with Orthogonality Constraints	1998	Alan Edelman T. A. Arias Steven T. Smith	3
+	Expressions for some hypergeometric functions of matrix argument with applications	1975	Robb J. Muirhead	3
+	Total positivity, spherical series, and hypergeometric functions of matrix argument	1989	Kenneth I. Gross Donald St. P. Richards	3
+	High dimensional limit theorems and matrix decompositions on the Stiefel manifold	1991	Yasuko Chikuse	3
+ PDF Chat	Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision	2008	Pavan Turaga Ashok Veeraraghavan Rama Chellappa	3
+ PDF Chat	Inference with normal-gamma prior distributions in regression problems	2010	Philip J. Brown Jim E. Griffin	3
+	Density Estimation on the Stiefel Manifold	1998	Yasuko Chikuse	3
+	Laplace approximation for Bessel functions of matrix argument	2003	Ronald W. Butler Andrew T. A. Wood	3
+ PDF Chat	Spike and slab variable selection: Frequentist and Bayesian strategies	2005	Hemant Ishwaran J. Sunil Rao	3
+	The efficient evaluation of the hypergeometric function of a matrix argument	2006	Plamen Koev Alan Edelman	3
+ PDF Chat	Simulation of the Matrix Bingham–von Mises–Fisher Distribution, With Applications to Multivariate and Relational Data	2009	Peter D. Hoff	3
+	Bessel Functions of Matrix Argument	1955	Carl Herz	3
+ PDF Chat	A review of Bayesian variable selection methods: what, how and which	2009	Robert B. O’Hara Mikko J. Sillanpää	3
+	Bayesian Analysis of Binary and Polychotomous Response Data	1993	James H. Albert Siddhartha Chib	2
+	<b>movMF</b>: An<i>R</i>Package for Fitting Mixtures of von Mises-Fisher Distributions	2014	Kurt Hornik Bettina Grün	2
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	2
+	Properties and applications of Fisher distribution on the rotation group	2013	Tomonari Sei Hiroki Shibata Akimichi Takemura Katsuyoshi Ohara Nobuki Takayama	2
+	On posterior consistency in nonparametric regression problems	2007	Taeryon Choi Mark J. Schervish	2
+	The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach	1999	Philip J. Brown Tom Fearn Marina Vannucci	2
+ PDF Chat	The Polya-Gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic	2013	Hee Min Choi James P. Hobert	2
+	Optimization Algorithms on Matrix Manifolds	2007	P.-A. Absil Robert Mahony Rodolphe Sepulchre	2
+	On the cone of positive semidefinite matrices	1987	R. D. Hill Steven R. Waters	2
+ PDF Chat	Extended Matrix Variate Hypergeometric Functions and Matrix Variate Distributions	2015	Daya K. Nagar Raúl Alejandro Morán‐Vásquez Arjun K. Gupta	2
+ PDF Chat	Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables	2013	Nicholas G. Polson James G. Scott Jesse Windle	2
+ PDF Chat	Experiments in Stochastic Computation for High-Dimensional Graphical Models	2005	Beatrix Jones Carlos M. Carvalho Adrian Dobra Chris Hans Chris Carter Mike West	2
+	Feature-Inclusion Stochastic Search for Gaussian Graphical Models	2008	James G. Scott Carlos Marinho Carvalho	2
+	Inequalities involving Bessel and modified Bessel functions	1990	E.K. Ifantis P.D. Siafarikas	2