James G. Scott

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Nick PolsonProfessor of Econometrics and Statistics, University of ChicagoVerified email at chicagobooth.edu
Carlos M. CarvalhoThe University of Texas at AustinVerified email at mccombs.utexas.edu
Abigail R.A. AikenUniversity of Texas at AustinVerified email at utexas.edu
Jennifer E StarlingMathematica Policy ResearchVerified email at mathematica-mpr.com
Lauren Ancel MeyersProfessor of Integrative Biology, The University of Texas at AustinVerified email at austin.utexas.edu
Mauricio TecPhD Candidate, Department of Statistics and Data Science, University of Texas at AustinVerified email at utexas.edu
Wesley TanseyMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
James BergerProfessor of Statistics, Duke UniversityVerified email at stat.duke.edu
Spencer J. FoxResearch Associate, UT-AustinVerified email at austin.utexas.edu
Michael LachmannSanta Fe InstututeVerified email at santafe.edu
Spencer WoodyPostdoctoral fellow, The University of Texas at AustinVerified email at utexas.edu
Maytal DahanTexas Advanced Computing CenterVerified email at tacc.utexas.edu
Kelly GaitherVerified email at tacc.utexas.edu
Jared MurrayAssistant Professor of Statistics, University of Texas at AustinVerified email at mccombs.utexas.edu
Ted von HippelEmbry-Riddle Aeronautical UniversityVerified email at erau.edu
Mikhail V MatzProfessor, Department of Integrative Biology, The University of Texas at AustinVerified email at utexas.edu
Rosalind M EggoAssociate Professor, London School of Hygiene & Tropical MedicineVerified email at lshtm.ac.uk
Liang SunUniversity of Texas at AustinVerified email at utexas.edu
Alex AtheyUniversity of TexasVerified email at arlut.utexas.edu
Alex ReinhartCarnegie Mellon UniversityVerified email at stat.cmu.edu

James G. Scott

Professor of Statistics and Data Science, University of Texas at Austin

Verified email at mccombs.utexas.edu - Homepage

statistics and data science


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The horseshoe estimator for sparse signals CM Carvalho, NG Polson, JG Scott Biometrika 97 (2), 465-480, 2010	1085	2010
Bayesian inference for logistic models using Polya-Gamma latent variables NG Polson, JG Scott, J Windle Journal of the American Statistical Association, 2013	832	2013
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem JG Scott, JO Berger The Annals of Statistics, 2587-2619, 2010	601	2010
Shrink globally, act locally: Sparse Bayesian regularization and prediction NG Polson, JG Scott Bayesian statistics 9 (501-538), 105, 2010	444	2010
Handling sparsity via the horseshoe CM Carvalho, NG Polson, JG Scott Artificial Intelligence and Statistics, 73-80, 2009	430	2009
An exploration of aspects of Bayesian multiple testing JG Scott, JO Berger Journal of statistical planning and inference 136 (7), 2144-2162, 2006	385	2006
On the half-Cauchy prior for a global scale parameter NG Polson, JG Scott Bayesian Analysis, Arxiv preprint arXiv:1104, 2012	379	2012
Feature-inclusion stochastic search for Gaussian graphical models JG Scott, CM Carvalho Journal of Computational and Graphical Statistics, 2008	143	2008
No control genes required: Bayesian analysis of qRT-PCR data MV Matz, RM Wright, JG Scott PloS one 8 (8), e71448, 2013	140	2013
Objective Bayesian model selection in Gaussian graphical models CM Carvalho, JG Scott Biometrika 96 (3), 497-512, 2009	133	2009
Requests for abortion in Latin America related to concern about Zika virus exposure ARA Aiken, JG Scott, R Gomperts, J Trussell, M Worrell, CE Aiken New England Journal of Medicine 375 (4), 396-398, 2016	128	2016
Local shrinkage rules, Levy processes, and regularized regression NG Polson, JG Scott Journal of the Royal Statistical Society: Series B 74 (2), 287-311, 2012	127	2012
The bayesian bridge NG Polson, JG Scott, J Windle Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014	125	2014
Proximal algorithms in statistics and machine learning NG Polson, JG Scott, BT Willard Statistical Science 30 (4), 559-581, 2015	109	2015
Fully Bayesian inference for neural models with negative-binomial spiking J Pillow, J Scott Advances in neural information processing systems 25, 2012	94	2012
Inverting Color-Magnitude Diagrams to Access Precise Star Cluster Parameters: A Bayesian Approach T von Hippel, WH Jefferys, J Scott, N Stein, DE Winget, S DeGennaro, ... The Astrophysical Journal 645 (2), 1436, 2006	88	2006
False discovery rate regression: an application to neural synchrony detection in primary visual cortex JG Scott, RC Kelly, MA Smith, P Zhou, RE Kass Journal of the American Statistical Association 110 (510), 459-471, 2015	75	2015
Projections for first-wave COVID-19 deaths across the US using social-distancing measures derived from mobile phones S Woody, M Tec, M Dahan, K Gaither, M Lachmann, SJ Fox, LA Meyers, ... Medrxiv, 2020	63	2020
The DFS Fused Lasso: Linear-Time Denoising over General Graphs. OHM Padilla, J Sharpnack, JG Scott, RJ Tibshirani Journal of Machine Learning Research 18, 176:1-176:36, 2018	53	2018
Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data P Buddhavarapu, JG Scott, JA Prozzi Transportation Research Part B: Methodological 91, 492-510, 2016	53	2016

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