2.5k citations · 9k across the 50 of their papers we have counts for
12 papers · 1 filter
Network Inference Using the Hub Model and Variants
Zhibing He, Yunpeng Zhao, Peter Bickel +3
Statistical network analysis primarily focuses on inferring the parameters of an observed network. In many applications, especially in the social sciences, the observed data is the…
Semiparametric Estimation of Treatment Effects in Randomized Experiments
Susan Athey, Peter J. Bickel, Aiyou Chen +2
We develop new semiparametric methods for estimating treatment effects. We focus on settings where the outcome distributions may be thick tailed, where treatment effects may be sma…
Binomial Mixture Model With U-shape Constraint
Yuting Ye, Peter J. Bickel
In this article, we study the binomial mixture model under the regime that the binomial size can be relatively large compared to the sample size . This project is motivated…
Interpretable Sensitivity Analysis for Balancing Weights
Dan Soriano, Eli Ben-Michael, Peter J. Bickel +2
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measur…
An Assumption-Free Exact Test For Fixed-Design Linear Models With Exchangeable Errors
Lihua Lei, Peter J. Bickel
We propose the Cyclic Permutation Test (CPT) to test general linear hypotheses for linear models. This test is non-randomized and valid in finite samples with exact Type I error $α…
Generalized Pearson correlation squares for capturing mixtures of bivariate linear dependences
Jingyi Jessica Li, Xin Tong, Peter J. Bickel
Motivated by the pressing needs for capturing complex but interpretable variable relationships in scientific research, here we generalize the squared Pearson correlation to capture…