24 citations · 52 across the 13 of their papers we have counts for
4 papers · 1 filter
An Exact Sampler for Inference after Polyhedral Model Selection
Sifan Liu
Inference after model selection presents computational challenges when dealing with intractable conditional distributions. Markov chain Monte Carlo (MCMC) is a common method for sa…
Selective Inference with Distributed Data
Sifan Liu, Snigdha Panigrahi
As datasets grow larger, they are often distributed across multiple machines that compute in parallel and communicate with a central machine through short messages. In this paper,…
Black-box Selective Inference via Bootstrapping
Sifan Liu, Jelena Markovic-Voronov, Jonathan Taylor
Conditional selective inference requires an exact characterization of the selection event, which is often unavailable except for a few examples like the lasso. This work addresses…
p-Value as the Strength of Evidence Measured by Confidence Distribution
Sifan Liu, Regina Liu, Min-ge Xie
The notion of p-value is a fundamental concept in statistical inference and has been widely used for reporting outcomes of hypothesis tests. However, p-value is often misinterprete…