6 papers
Efficient computational algorithms for approximate optimal designs
Jiangtao Duan, Wei Gao, Yanyuan Ma +1
In this paper, we propose two simple yet efficient computational algorithms to obtain approximate optimal designs for multi-dimensional linear regression on a large variety of desi…
Subspace Clustering for Panel Data with Interactive Effects
Jiangtao Duan, Wei Gao, Hao Qu +1
In this paper, a statistical model for panel data with unobservable grouped factor structures which are correlated with the regressors and the group membership can be unknown. The…
Efficient Computational Algorithm for Optimal Continuous Experimental Designs
Jiangtao Duan, Wei Gao, Hon Keung Tony Ng
A simple yet efficient computational algorithm for computing the continuous optimal experimental design for linear models is proposed. An alternative proof the monotonic convergenc…
Estimation of Treatment Effects for Heterogeneous Matched Pairs Data with Probit Models
Jun Wang, Wei Gao, Man-Lai Tang
Estimating the effect of medical treatments on subject responses is one of the crucial problems in medical research. Matched-pairs designs are commonly implemented in the field of…
Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects
Wei Gao, Wicher Bergsma, Qiwei Yao
For discrete panel data, the dynamic relationship between successive observations is often of interest. We consider a dynamic probit model for short panel data. A problem with esti…
Efficient Computational Algorithm for Optimal Allocation in Regression Models
Wei Gao, Ping Shing Chan, Hon Keung Tony Ng +1
In this article, we discuss the optimal allocation problem in an experiment when a regression model is used for statistical analysis. Monotonic convergence for a general class of m…