The horseshoe estimator for sparse signals CM Carvalho, NG Polson, JG Scott Biometrika 97 (2), 465-480, 2010 | 1556 | 2010 |
Bayesian inference for logistic models using Polya-Gamma latent variables NG Polson, JG Scott, J Windle Journal of the American Statistical Association, 2013 | 1210 | 2013 |
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem JG Scott, JO Berger The Annals of Statistics, 2587-2619, 2010 | 705 | 2010 |
Handling sparsity via the horseshoe CM Carvalho, NG Polson, JG Scott Artificial intelligence and statistics, 73-80, 2009 | 690 | 2009 |
Shrink globally, act locally: Sparse Bayesian regularization and prediction NG Polson, JG Scott Bayesian statistics 9 (501-538), 105, 2010 | 583 | 2010 |
On the half-Cauchy prior for a global scale parameter NG Polson, JG Scott Bayesian Analysis, Arxiv preprint arXiv:1104, 2012 | 518 | 2012 |
An exploration of aspects of Bayesian multiple testing JG Scott, JO Berger Journal of statistical planning and inference 136 (7), 2144-2162, 2006 | 430 | 2006 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 197 | 2022 |
No control genes required: Bayesian analysis of qRT-PCR data MV Matz, RM Wright, JG Scott PloS one 8 (8), e71448, 2013 | 178 | 2013 |
The bayesian bridge NG Polson, JG Scott, J Windle Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014 | 174 | 2014 |
Proximal algorithms in statistics and machine learning NG Polson, JG Scott, BT Willard | 162 | 2015 |
Feature-inclusion stochastic search for Gaussian graphical models JG Scott, CM Carvalho Journal of Computational and Graphical Statistics, 2008 | 154 | 2008 |
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 | 153 | 2012 |
Objective Bayesian model selection in Gaussian graphical models CM Carvalho, JG Scott Biometrika 96 (3), 497-512, 2009 | 152 | 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 | 140 | 2016 |
Fully Bayesian inference for neural models with negative-binomial spiking J Pillow, J Scott Advances in neural information processing systems 25, 2012 | 114 | 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 | 106 | 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 | 98 | 2015 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
Demand for self-managed online telemedicine abortion in the United States during the coronavirus disease 2019 (COVID-19) pandemic ARA Aiken, JE Starling, R Gomperts, M Tec, JG Scott, CE Aiken Obstetrics & Gynecology 136 (4), 835-837, 2020 | 90 | 2020 |