80 citations · 134 across the 7 of their papers we have counts for
7 papers
Testing for cross-quantilogram change
Chia-Min Chang, Yu-Hsiang Cheng, Tzee-Ming Huang
For two time series and , the directional dependence of on while removing the impact of on $X…
A mixture logistic model for panel data with a Markov structure
Yu-Hsiang Cheng, Tzee-Ming Huang
In this study, we propose a mixture logistic regression model with a Markov structure, and consider the estimation of model parameters using maximum likelihood estimation. We also…
A clustering method for misaligned curves
Yu-Hsiang Cheng, Tzee-Ming Huang, Su-Fen Yang
We consider the problem of clustering misaligned curves. According to our similarity measure, two curves are considered similar if they have the same shape after being aligned, and…
Random Partitioning and Distribution-based Thresholding for Iterative Variable Screening in High Dimensions
Yu-Hsiang Cheng, Tzee-Ming Huang, Su-Yun Huang
In big data analysis, a simple task such as linear regression can become very challenging as the variable dimension grows. As a result, variable screening is inevitable in many…
A nonparametric copula density estimator incorporating information on bivariate marginals
Yu-Hsiang Cheng, Tzee-Ming Huang
We propose a copula density estimator that can include information on bivariate marginals when the information is available. We use B-splines for copula density approximation and i…
Testing conditional independence using maximal nonlinear conditional correlation
Tzee-Ming Huang
In this paper, the maximal nonlinear conditional correlation of two random vectors and given another random vector , denoted by , is defined as a measure of…
Convergence rates for posterior distributions and adaptive estimation
Tzee-Ming Huang
The goal of this paper is to provide theorems on convergence rates of posterior distributions that can be applied to obtain good convergence rates in the context of density estimat…