600 citations · 807 across the 35 of their papers we have counts for
5 papers · 1 filter
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
James G. Scott, James O. Berger
This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity…
Parameter expansion in local-shrinkage models
James G. Scott
This paper considers the problem of using MCMC to fit sparse Bayesian models based on normal scale-mixture priors. Examples of this framework include the Bayesian LASSO and the hor…
Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors
Nicholas G. Polson, James G. Scott
This paper examines historical patterns of ROA (return on assets) for a cohort of 53,038 publicly traded firms across 93 countries, measured over the past 45 years. Our goal is to…
Local shrinkage rules, Levy processes, and regularized regression
Nicholas G. Polson, James G. Scott
We use Levy processes to generate joint prior distributions, and therefore penalty functions, for a location parameter as p grows large. This generalizes the class of local-global…
Nonparametric Bayesian multiple testing for longitudinal performance stratification
James G. Scott
This paper describes a framework for flexible multiple hypothesis testing of autoregressive time series. The modeling approach is Bayesian, though a blend of frequentist and Bayesi…