4 papers
Maximum Likelihood Criterion for Non-nested Model Selection
Min Tsao
Penalization is a widely used approach to model selection with roots in information theory and Bayesian inference. We study a model selection problem involving non-nested candidate…
Estimation of Bivariate Normal Distributions from Marginal Summaries in Clinical Trials
Longwen Shang, Min Tsao, Xuekui Zhang
In certain privacy-sensitive scenarios within fields such as clinical trial simulations, federated learning, and distributed learning, researchers often face the challenge of estim…
Estimating the Joint Distribution of Two Binary Variables with Marginal Statistics
Longwen Shang, Min Tsao, Xuekui Zhang
Clinical trial simulation (CTS) is critical in new drug development, providing insight into safety and efficacy while guiding trial design. Achieving realistic outcomes in CTS requ…
Sparse maximum likelihood estimation for regression models
Min Tsao
For regression model selection via maximum likelihood estimation, we adopt a vector representation of candidate models and study the likelihood ratio confidence region for the regr…