James G. Scott
James G. Scott
Professor of Statistics and Data Science, University of Texas at Austin
Verified email at - Homepage
Cited by
Cited by
The horseshoe estimator for sparse signals
CM Carvalho, NG Polson, JG Scott
Biometrika 97 (2), 465-480, 2010
Bayesian inference for logistic models using Polya-Gamma latent variables
NG Polson, JG Scott, J Windle
Journal of the American Statistical Association, 2013
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
JG Scott, JO Berger
The Annals of Statistics, 2587-2619, 2010
Shrink globally, act locally: Sparse Bayesian regularization and prediction
NG Polson, JG Scott
Bayesian statistics 9 (501-538), 105, 2010
Handling sparsity via the horseshoe
CM Carvalho, NG Polson, JG Scott
Artificial Intelligence and Statistics, 73-80, 2009
An exploration of aspects of Bayesian multiple testing
JG Scott, JO Berger
Journal of statistical planning and inference 136 (7), 2144-2162, 2006
On the half-Cauchy prior for a global scale parameter
NG Polson, JG Scott
Bayesian Analysis, Arxiv preprint arXiv:1104, 2012
Feature-inclusion stochastic search for Gaussian graphical models
JG Scott, CM Carvalho
Journal of Computational and Graphical Statistics, 2008
No control genes required: Bayesian analysis of qRT-PCR data
MV Matz, RM Wright, JG Scott
PloS one 8 (8), e71448, 2013
Objective Bayesian model selection in Gaussian graphical models
CM Carvalho, JG Scott
Biometrika 96 (3), 497-512, 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
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
The bayesian bridge
NG Polson, JG Scott, J Windle
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014
Proximal algorithms in statistics and machine learning
NG Polson, JG Scott, BT Willard
Statistical Science 30 (4), 559-581, 2015
Fully Bayesian inference for neural models with negative-binomial spiking
J Pillow, J Scott
Advances in neural information processing systems 25, 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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20