2 papers
stat.ME2025
Partially Bayes p-values for large scale inference
Nikolaos Ignatiadis, Li Ma
We seek to conduct statistical inference for a large collection of primary parameters, each with its own nuisance parameters. Our approach is partially Bayesian, in that we treat t…
stat.ME2024
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
Li Ma, Benedetta Bruni
Tree-based priors for probability distributions are usually specified using a predetermined, data-independent collection of candidate recursive partitions of the sample space. To c…