11 citations · 15 across the 4 of their papers we have counts for
4 papers · 1 filter
Bayesian variance change point detection with credible sets
Lorenzo Cappello, Oscar Hernan Madrid Padilla
This paper introduces a novel Bayesian approach to detect changes in the variance of a Gaussian sequence model, focusing on quantifying the uncertainty in the change point location…
Energy distance and kernel mean embeddings for two-sample survival testing
Marcos Matabuena, Oscar Hernan Madrid Padilla
We study the comparison problem of distribution equality between two random samples under a right censoring scheme. To address this problem, we design a series of tests based on en…
Optimal post-selection inference for sparse signals: a nonparametric empirical-Bayes approach
Spencer Woody, Oscar Hernan Madrid Padilla, James G. Scott
Many recently developed Bayesian methods have focused on sparse signal detection. However, much less work has been done addressing the natural follow-up question: how to make valid…
A deconvolution path for mixtures
Oscar Hernan Madrid Padilla, Nicholas G. Polson, James G. Scott
We propose a class of estimators for deconvolution in mixture models based on a simple two-step "bin-and-smooth" procedure applied to histogram counts. The method is both statistic…