7 papers
Longitudinal Position and Cancer Risk in the United States Revisited
Jin Niu, Charlotte Brown, Michael Law +2
Background: The debate over daylight saving time has surged, with interests in the effects of sunlight exposure on health. \commentnj{Prior studies simulated daylight saving time a…
A Rank-Based Sequential Test of Independence
Alexander Henzi, Michael Law
We consider the problem of independence testing for two univariate random variables in a sequential setting. By leveraging recent developments on safe, anytime-valid inference, we…
Rank-Constrained Least-Squares: Prediction and Inference
Michael Law, Ya'acov Ritov, Ruixiang Zhang +1
In this work, we focus on the high-dimensional trace regression model with a low-rank coefficient matrix. We establish a nearly optimal in-sample prediction risk bound for the rank…
High-Dimensional Varying Coefficient Models with Functional Random Effects
Michael Law, Ya'acov Ritov
We consider a sparse high-dimensional varying coefficients model with random effects, a flexible linear model allowing covariates and coefficients to have a functional dependence w…
The Hot Hand and Its Effect on the NBA
Brian McNair, Eric Margolin, Michael Law +1
This paper aims to revisit and expand upon previous work on the "hot hand" phenomenon in basketball, specifically in the NBA. Using larger, modern data sets, we test streakiness of…
Estimating the Random Effect in Big Data Mixed Models
Michael Law, Ya'acov Ritov
We consider three problems in high-dimensional Gaussian linear mixed models. Without any assumptions on the design for the fixed effects, we construct an asymptotic -statistic f…
Inference Without Compatibility
Michael Law, Ya'acov Ritov
We consider hypotheses testing problems for three parameters in high-dimensional linear models with minimal sparsity assumptions of their type but without any compatibility conditi…