2 papers
stat.ME2026
Predictive Inference via Kernel Density Estimates
Torey Hilbert
Kernel density estimation is a widely used nonparametric approach to estimate an unknown distribution. Recent work in Bayesian predictive inference has considered stochastic proces…
stat.ME2024
Robust distribution-free tests for the linear model
Torey Hilbert, Steven MacEachern, Yuan Zhang
Recently, there has been growing concern about heavy-tailed and skewed noise in biological data. We introduce RobustPALMRT, a flexible permutation framework for testing the associa…