3 papers
stat.ME2021
Distribution-Free Bayesian multivariate predictive inference
Daniel Yekutieli
We introduce a comprehensive Bayesian multivariate predictive inference framework. The basis for our framework is a hierarchical Bayesian model, that is a mixture of finite Polya t…
stat.ME2019
Nonparametric Shrinkage Estimation in High Dimensional Generalized Linear Models via Polya Trees
Asaf Weinstein, Jonas Wallin, Daniel Yekutieli +1
Regularization in fitting regression models has been a highly active topic of research in the past few decades, but most of the existing methods are designed for particular situati…
stat.ME2016
Extracting replicable associations across multiple studies: algorithms for controlling the false discovery rate
David Amar, Ron Shamir, Daniel Yekutieli
Extracting associations that recur across multiple studies while controlling the false discovery rate is a fundamental challenge. Here, we consider an extension of Efron's single-s…