6 citations · 13 across the 9 of their papers we have counts for
10 papers
Compound Estimation for Binomials
Yan Chen, Lihua Lei
Many applications involve estimating the mean of multiple binomial outcomes as a common problem -- assessing intergenerational mobility of census tracts, estimating prevalence of i…
Nonparametric Identification of Demand without Exogenous Product Characteristics
Kirill Borusyak, Jiafeng Chen, Peter Hull +1
We study identification of differentiated product demand from market-level data when product characteristics can be endogenous. Past work suggests nonparametric identification may…
Compound Selection Decisions: An Almost SURE Approach
Jiafeng Chen, Lihua Lei, Timothy Sudijono +2
This paper proposes methods for producing compound selection decisions in a Gaussian sequence model. Given unknown, fixed parameters and known with observation…
Family-wise Error Rate Control with E-values
Will Hartog, Lihua Lei
The closure principle is a standard tool for achieving strong family-wise error rate (FWER) control in multiple testing problems. We develop an e-value-based closed testing framewo…
Estimating the False Discovery Rate of Variable Selection
Yixiang Luo, William Fithian, Lihua Lei
We introduce a generic estimator for the false discovery rate of any model selection procedure, in common statistical modeling settings including the Gaussian linear model, Gaussia…
Causal Interpretation of Regressions With Ranks
Lihua Lei
In studies of educational production functions or intergenerational mobility, it is common to transform the key variables into percentile ranks. Yet, it remains unclear what the re…
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series
Zitong Yang, Emmanuel Candès, Yu Ming Huang +1
We introduce Bellman Conformal Inference (BCI), a framework that wraps around any time series forecasting models and provides calibrated prediction intervals. Unlike the existing m…
Inference for Synthetic Controls via Refined Placebo Tests
Lihua Lei, Timothy Sudijono
The synthetic control method is often applied to problems with one treated unit and a small number of control units. A common inferential task in this setting is to test null hypot…
Causal clustering: design of cluster experiments under network interference
Davide Viviano, Lihua Lei, Guido Imbens +3
This paper studies the design of cluster experiments to estimate the global treatment effect in the presence of network spillovers. We provide a framework to choose the clustering…
Total Variation Floodgate for Variable Importance Inference in Classification
Wenshuo Wang, Lucas Janson, Lihua Lei +1
Inferring variable importance is the key problem of many scientific studies, where researchers seek to learn the effect of a feature on the outcome in the presence of confo…