activity
20062021
most citedModel Selection Principles in Misspecified Models

94 citations · 126 across the 11 of their papers we have counts for

collaborators

12 papers

stat.ME2021

Kernel-based Partial Permutation Test for Detecting Heterogeneous Functional Relationship

Xinran Li, Bo Jiang, Jun S. Liu

We propose a kernel-based partial permutation test for checking the equality of functional relationship between response and covariates among different groups. The main idea, which…

stat.ME2020★ 1 cited

On Posterior Consistency of Bayesian Factor Models in High Dimensions

Yucong Ma, Jun S. Liu

As a principled dimension reduction technique, factor models have been widely adopted in social science, economics, bioinformatics, and many other fields. However, in high-dimensio…

stat.ME2020★ 4 cited

Stratification and Optimal Resampling for Sequential Monte Carlo

Yichao Li, Wenshuo Wang, Ke Deng +1

Sequential Monte Carlo (SMC), also known as particle filters, has been widely accepted as a powerful computational tool for making inference with dynamical systems. A key step in S…

stat.ML2018

IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms

Ruzhang Zhao, Pengyu Hong, Jun S Liu

Relief based algorithms have often been claimed to uncover feature interactions. However, it is still unclear whether and how interaction terms will be differentiated from marginal…

stat.ME2018★ 6 cited

Neuronized Priors for Bayesian Sparse Linear Regression

Minsuk Shin, Jun S Liu

Although Bayesian variable selection methods have been intensively studied, their routine use in practice has not caught up with their non-Bayesian counterparts such as Lasso, like…

stat.ME2018

Randomization Inference for Peer Effects

Xinran Li, Peng Ding, Qian Lin +2

Many previous causal inference studies require no interference, that is, the potential outcomes of a unit do not depend on the treatments of other units. However, this no-interfere…