2 citations · 3 across the 3 of their papers we have counts for
4 papers
Bayesian Transfer Learning for Enhanced Estimation and Inference
Daoyuan Lai, Oscar Hernan Madrid Padilla, Xiang Li +1
Transfer learning enhances model performance in a target population with limited samples by leveraging knowledge from related studies. While many works focus on improving predictiv…
A Note on Online Change Point Detection
Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang +1
We investigate sequential change point estimation and detection in univariate nonparametric settings, where a stream of independent observations from sub-Gaussian distributions wit…
Optimal nonparametric multivariate change point detection and localization
Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang +1
We study the multivariate nonparametric change point detection problem, where the data are a sequence of independent -dimensional random vectors whose distributions are piecewis…
Sequential nonparametric tests for a change in distribution: an application to detecting radiological anomalies
Oscar Hernan Madrid Padilla, Alex Athey, Alex Reinhart +1
We propose a sequential nonparametric test for detecting a change in distribution, based on windowed Kolmogorov--Smirnov statistics. The approach is simple, robust, highly computat…