James G. Scott

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Medförfattare

Nick PolsonProfessor of Econometrics and Statistics, University of ChicagoVerifierad e-postadress på chicagobooth.edu
Carlos M. CarvalhoThe University of Texas at AustinVerifierad e-postadress på mccombs.utexas.edu
Abigail R.A. AikenUniversity of Texas at AustinVerifierad e-postadress på utexas.edu
Jennifer E StarlingThe University of Texas at AustinVerifierad e-postadress på utexas.edu
Wesley TanseyMemorial Sloan Kettering Cancer CenterVerifierad e-postadress på mskcc.org
Oscar Hernan Madrid PadillaUniversity of California, Los AngelesVerifierad e-postadress på utexas.edu
James BergerProfessor of Statistics, Duke UniversityVerifierad e-postadress på stat.duke.edu
Lauren Ancel MeyersProfessor of Integrative Biology, The University of Texas at AustinVerifierad e-postadress på austin.utexas.edu
Mauricio TecPhD Student, Department of Statistics and Data Science, University of Texas at AustinVerifierad e-postadress på utexas.edu
Ted von HippelEmbry-Riddle Aeronautical UniversityVerifierad e-postadress på erau.edu
Mikhail V MatzProfessor, Department of Integrative Biology, The University of Texas at AustinVerifierad e-postadress på utexas.edu
Spencer WoodyStatistics PhD candidate, The University of Texas at AustinVerifierad e-postadress på utexas.edu
Liang SunUniversity of Texas at AustinVerifierad e-postadress på utexas.edu
Rosalind M EggoAssistant Professor, London School of Hygiene & Tropical MedicineVerifierad e-postadress på lshtm.ac.uk
Spencer FoxResearch Associate, UT-AustinVerifierad e-postadress på austin.utexas.edu
Maytal DahanTexas Advanced Computing CenterVerifierad e-postadress på tacc.utexas.edu
Kelly GaitherVerifierad e-postadress på tacc.utexas.edu
Jared MurrayAssistant Professor of Statistics, University of Texas at AustinVerifierad e-postadress på mccombs.utexas.edu
Michael LachmannSanta Fe InstututeVerifierad e-postadress på santafe.edu
Rachel M. WrightSmith CollegeVerifierad e-postadress på smith.edu

James G. Scott

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

Verifierad e-postadress på mccombs.utexas.edu - Startsida

statistics and data science


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
The horseshoe estimator for sparse signals CM Carvalho, NG Polson, JG Scott Biometrika 97 (2), 465-480, 2010	808	2010
Bayesian inference for logistic models using Polya-Gamma latent variables NG Polson, JG Scott, J Windle Journal of the American Statistical Association, 2013	610	2013
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem JG Scott, JO Berger The Annals of Statistics, 2587-2619, 2010	524	2010
An exploration of aspects of Bayesian multiple testing JG Scott, JO Berger Journal of statistical planning and inference 136 (7), 2144-2162, 2006	360	2006
Shrink globally, act locally: Sparse Bayesian regularization and prediction NG Polson, JG Scott Bayesian statistics 9 (501-538), 105, 2010	337	2010
On the half-Cauchy prior for a global scale parameter NG Polson, JG Scott Bayesian Analysis, Arxiv preprint arXiv:1104, 2012	304	2012
Handling sparsity via the horseshoe CM Carvalho, NG Polson, JG Scott Artificial Intelligence and Statistics, 73-80, 2009	300	2009
Feature-inclusion stochastic search for Gaussian graphical models JG Scott, CM Carvalho Journal of Computational and Graphical Statistics, 2008	132	2008
Objective Bayesian model selection in Gaussian graphical models CM Carvalho, JG Scott Biometrika 96 (3), 497-512, 2009	123	2009
No control genes required: Bayesian analysis of qRT-PCR data MV Matz, RM Wright, JG Scott PloS one 8 (8), e71448, 2013	118	2013
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	113	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	107	2012
The bayesian bridge NG Polson, JG Scott, J Windle Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2014	101	2014
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	74	2006
Proximal algorithms in statistics and machine learning NG Polson, JG Scott, BT Willard Statistical Science 30 (4), 559-581, 2015	71	2015
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	63	2015
Fully Bayesian inference for neural models with negative-binomial spiking J Pillow, J Scott Advances in neural information processing systems 25, 1898-1906, 2012	59	2012
Respiratory virus transmission dynamics determine timing of asthma exacerbation peaks: Evidence from a population-level model RM Eggo, JG Scott, AP Galvani, LA Meyers Proceedings of the National Academy of Sciences 113 (8), 2194-2199, 2016	38	2016
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	37	2016
Factors influencing the likelihood of instrumental delivery success CE Aiken, AR Aiken, JC Brockelsby, JG Scott Obstetrics and gynecology 123 (4), 796, 2014	35	2014

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