James G. Scott
James G. Scott
Professor of Statistics and Data Science, University of Texas at Austin
Verified email at mccombs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
The horseshoe estimator for sparse signals
CM Carvalho, NG Polson, JG Scott
Biometrika 97 (2), 465-480, 2010
8662010
Bayesian inference for logistic models using Polya-Gamma latent variables
NG Polson, JG Scott, J Windle
Journal of the American Statistical Association, 2013
6552013
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
JG Scott, JO Berger
The Annals of Statistics, 2587-2619, 2010
5312010
An exploration of aspects of Bayesian multiple testing
JG Scott, JO Berger
Journal of statistical planning and inference 136 (7), 2144-2162, 2006
3682006
Shrink globally, act locally: Sparse Bayesian regularization and prediction
NG Polson, JG Scott
Bayesian statistics 9 (501-538), 105, 2010
3612010
Handling sparsity via the horseshoe
CM Carvalho, NG Polson, JG Scott
Artificial Intelligence and Statistics, 73-80, 2009
3322009
On the half-Cauchy prior for a global scale parameter
NG Polson, JG Scott
Bayesian Analysis, Arxiv preprint arXiv:1104, 2012
3142012
Feature-inclusion stochastic search for Gaussian graphical models
JG Scott, CM Carvalho
Journal of Computational and Graphical Statistics, 2008
1332008
No control genes required: Bayesian analysis of qRT-PCR data
MV Matz, RM Wright, JG Scott
PloS one 8 (8), e71448, 2013
1232013
Objective Bayesian model selection in Gaussian graphical models
CM Carvalho, JG Scott
Biometrika 96 (3), 497-512, 2009
1222009
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
1182016
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
1082012
The bayesian bridge
NG Polson, JG Scott, J Windle
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2014
1072014
Proximal algorithms in statistics and machine learning
NG Polson, JG Scott, BT Willard
Statistical Science 30 (4), 559-581, 2015
792015
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
762006
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
662015
Fully Bayesian inference for neural models with negative-binomial spiking.
JW Pillow, JG Scott
NIPS 1, 1907-1915, 2012
662012
Projections for first-wave COVID-19 deaths across the US using social-distancing measures derived from mobile phones
S Woody, MG Tec, M Dahan, K Gaither, M Lachmann, S Fox, LA Meyers, ...
medRxiv, 2020
462020
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
392016
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
392016
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