Anupreet Porwal

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All published works

Action	Title	Year	Authors
+ PDF Chat	Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models	2024	Anupreet Porwal Abel Rodríguez
+	A survey of Bayesian statistical methods in biomarker discovery and early clinical development	2023	Erina Paul Avid M. Afzal Roland Brown Shanshan Cao Yushi Liu Tatiana Matejovicova Anupreet Porwal Zhe Sun Richard Baumgartner Himel Mallick
+ PDF Chat	Laplace Power-Expected-Posterior Priors for Logistic Regression	2023	Anupreet Porwal Abel Rodrìguez
+ PDF Chat	Effect of Model Space Priors on Statistical Inference with Model Uncertainty	2022	Anupreet Porwal Adrian E. Raftery
+	Comparing methods for statistical inference with model uncertainty	2022	Anupreet Porwal Adrian E. Raftery
+ PDF Chat	Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression	2021	Anupreet Porwal Abel Rodrìguez
+	Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression	2021	Anupreet Porwal Abel Rodrìguez
+	Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels	2018	Gundeep Arora Anupreet Porwal Kanupriya Agarwal Avani Samdariya Piyush Rai
+	Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels	2018	Gundeep Arora Anupreet Porwal Kanupriya Agarwal Avani Samdariya Piyush Rai
+	Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels	2018	Gundeep Arora Anupreet Porwal Kanupriya Agarwal Avani Samdariya Piyush Rai

Common Coauthors

Coauthor	Papers Together
Abel Rodríguez	4
Avani Samdariya	3
Gundeep Arora	3
Piyush Rai	3
Kanupriya Agarwal	2
Adrian E. Raftery	2
Erina Paul	1
Zhe Sun	1
Himel Mallick	1
Richard Baumgartner	1
Avid M. Afzal	1
Kanupriya Agarwal	1
Roland Brown	1
Yushi Liu	1
Tatiana Matejovicova	1
Shanshan Cao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Posterior odds ratios for selected regression hypotheses	1980	A. Zellner Aloysius Siow	3
+	Mixtures of <i>g</i> Priors for Bayesian Variable Selection	2008	Feng Liang Rui Paulo Germán Molina Merlise A. Clyde James O. Berger	3
+ PDF Chat	Regularization in Regression: Comparing Bayesian and Frequentist Methods in a Poorly Informative Situation	2012	Gilles Celeux Mohammed El Anbari Jean‐Michel Marin Christian P. Robert	2
+ PDF Chat	Calibration and empirical Bayes variable selection	2000	Edward I. George Dean P. Foster	2
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	2
+ PDF Chat	Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors	1999	Jennifer A. Hoeting David Madigan Adrian E. Raftery Chris Volinsky	2
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	2
+	Bayesian Model Selection and Model Averaging	2000	Larry Wasserman	2
+	Bayes Factors	1995	Robert E. Kass Adrian E. Raftery	2
+	A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion	1995	Robert E. Kass Larry Wasserman	2
+ PDF Chat	Lasso Meets Horseshoe: A Survey	2019	Anindya Bhadra Jyotishka Datta Nicholas G. Polson Brandon T. Willard	2
+	Variable Selection in Cross‐Section Regressions: Comparisons and Extensions	2013	Thomas Deckers Christoph Hanck	2
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	2
+ PDF Chat	Minimum description length model selection criteria for generalized linear models	2003	Mark Hansen Bin Yu	2
+	Clustering with Bregman Divergences	2004	Arindam Banerjee Srujana Merugu Inderjit S. Dhillon Joydeep Ghosh	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+ PDF Chat	Benchmark priors for Bayesian model averaging	2001	Carmen Fernández Eduardo Ley Mark F. J. Steel	2
+	Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models	2012	Ke Jiang Brian Kulis Michael I. Jordan	2
+ PDF Chat	A default prior for regression coefficients	2018	Erik W. van Zwet	2
+ PDF Chat	Approximate Laplace Approximations for Scalable Model Selection	2021	David Rossell Oriol Abril Anirban Bhattacharya	2
+ PDF Chat	The Risk Inflation Criterion for Multiple Regression	1994	Dean P. Foster Edward I. George	2
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	2
+ PDF Chat	Default priors and predictive performance in Bayesian model averaging, with application to growth determinants	2009	Theo S. Eicher Chris Papageorgiou Adrian E. Raftery	2
+ PDF Chat	Bayesian Model Selection in High-Dimensional Settings	2012	Valen E. Johnson David Rossell	2
+	Combinatorial Topic Models using Small-Variance Asymptotics	2016	Ke Jiang Suvrit Sra Brian Kulis	2
+ PDF Chat	Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression	2018	Anabel Forte Gonzalo García‐Donato Mark F. J. Steel	2
+	Regularization Paths for Generalized Linear Models via Coordinate Descent	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+	Max-Margin Nonparametric Latent Feature Models for Link Prediction	2012	Jun Zhu Jiaming Song Bei Chen	2
+	Discussion	2003	Adrian E. Raftery Yingye Zheng	2
+	A Note on Screening Regression Equations	1983	David A. Freedman David A. Freedman	1
+	Power prior distributions for generalized linear models	2000	Ming‐Hui Chen Joseph G. Ibrahim Qi-Man Shao	1
+	High-Dimensional Bayesian Clustering with Variable Selection: The<i>R</i>Package<b>bclust</b>	2012	Vahid Partovi Nia A. C. Davison	1
+	A solution to the problem of separation in logistic regression	2002	Georg Heinze M. Schemper	1
+	Scalable MCMC for Mixed Membership Stochastic Blockmodels	2015	Wenzhe Li Sungjin Ahn Max Welling	1
+	MAD-Bayes: MAP-based Asymptotic Derivations from Bayes	2013	Tamara Broderick Brian Kulis Michael I. Jordan	1
+	Mixed-effects random forest for clustered data	2012	Ahlem Hajjem François Bellavance Denis Larocque	1
+	Bayesian Variable Selection in Linear Regression	1988	Toby J. Mitchell John J. Beauchamp	1
+	Smoothing Spline ANOVA Models:<i>R</i>Package<b>gss</b>	2014	Chong Gu	1
+	Consistent fractional Bayes factor for nested normal linear models	2001	Fulvio De Santis Fulvio Spezzaferri	1
+ PDF Chat	Nonlocal Priors for High-Dimensional Estimation	2015	David Rossell Donatello Telesca	1
+ PDF Chat	Objective Bayesian Methods for Model Selection: Introduction and Comparison	2001	James O. Berger Luis R. Pericchi	1
+	Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction	2015	Mingyuan Zhou	1
+ PDF Chat	Bayesian robustness modeling using regularly varying distributions	2006	J. A. A. Andrade Anthony O’Hagan	1
+	Bayesian Variable and Transformation Selection in Linear Regression	2002	Jennifer A. Hoeting Adrian E. Raftery David Madigan	1
+ PDF Chat	MAD Bayes for Tumor Heterogeneity—Feature Allocation With Exponential Family Sampling	2015	Yanxun Xu Peter Müller Yuan Yuan Kamalakar Gulukota Yuan Ji	1
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	1
+	The Bayesian Lasso	2008	Trevor Park George Casella	1
+	Efficiently Simulating the Coverage Properties of Interval Estimates	1986	D. B. Rubin Nathaniel Schenker	1
+ PDF Chat	Bayesian Model Averaging for Linear Regression Models	1997	Adrian E. Raftery David Madigan Jennifer A. Hoeting	1
+	EMVS: The EM Approach to Bayesian Variable Selection	2013	Veronika Ročková Edward I. George	1