4 papers
Unsupervised Learning Under a General Semiparametric Clusterwise Elliptical Distribution: Efficient Estimation, Optimal Clustering, and Consistent Cluster Selection
Jen-Chieh Teng, Sheng-Hsin Fan, Chin-Tsang Chiang +2
A general semiparametric clusterwise elliptical distribution is introduced for assessing how latent cluster structure shapes continuous outcomes. Using a subjectwise representation…
Unsupervised Learning in a General Semiparametric Clusterwise Index Distribution Model
Jen-Chieh Teng, Chin-Tsang Chiang
This study introduces a general semiparametric clusterwise index distribution model to analyze how latent clusters affect the covariate-response relationships. By employing suffici…
An Effective Method for Identifying Clusters of Robot Strengths
Jen-Chieh Teng, Chin-Tsang Chiang, Alvin Lim
In the analysis of qualification data from the FIRST Robotics Competition, the ratio of the number of observations to the number of parameters has been found to be quite small for…
Estimating Robot Strengths with Application to Selection of Alliance Members in FIRST Robotics Competitions
Alejandro Lim, Chin-Tsang Chiang, Jen-Chieh Teng
Since the inception of the FIRST Robotics Competition (FRC) and its special playoff system, robotics teams have longed to appropriately quantify the strengths of their designed rob…