65 citations · 111 across the 10 of their papers we have counts for
10 papers
Regression model selection via log-likelihood ratio and constrained minimum criterion
Min Tsao
Although the log-likelihood is widely used in model selection, the log-likelihood ratio has had few applications in this area. We develop a log-likelihood ratio based method for se…
A constrained minimum criterion for model selection
Min Tsao
We propose a hypothesis test based model selection criterion for the best subset selection of sparse linear models. We show it is consistent in that the probability of its choosing…
Average group effect of strongly correlated predictor variables is estimable
Min Tsao
It is well known that individual parameters of strongly correlated predictor variables in a linear model cannot be accurately estimated by the least squares regression due to multi…
Group least squares regression for linear models with strongly correlated predictor variables
Min Tsao
Traditionally, the least squares regression is mainly concerned with studying the effects of individual predictor variables, but strongly correlated variables generate multicolline…
Estimable group effects for strongly correlated variables in linear models
Min Tsao
It is well known that parameters for strongly correlated predictor variables in a linear model cannot be accurately estimated. We look for linear combinations of these parameters t…
Two-sample extended empirical likelihood for estimating equations
Min Tsao, Fan Wu
We propose a two-sample extended empirical likelihood for inference on the difference between two p-dimensional parameters defined by estimating equations. The standard two-sample…
Empirical likelihood on the full parameter space
Min Tsao, Fan Wu
We extend the empirical likelihood of Owen [Ann. Statist. 18 (1990) 90-120] by partitioning its domain into the collection of its contours and mapping the contours through a contin…
Multivariate two-sample extended empirical likelihood
Fan Wu, Min Tsao
Jing (1995) and Liu et al. (2008) studied the two-sample empirical likelihood and showed it is Bartlett correctable for the univariate and multivariate cases, respectively. We expa…
Extended empirical likelihood for general estimating equations
Min Tsao, Fan Wu
We derive an extended empirical likelihood for parameters defined by estimating equations which generalizes the original empirical likelihood for such parameters to the full parame…
Bounds on coverage probabilities of the empirical likelihood ratio confidence regions
Min Tsao
This paper studies the least upper bounds on coverage probabilities of the empirical likelihood ratio confidence regions based on estimating equations. The implications of the boun…