5 citations · 10 across the 9 of their papers we have counts for
3 papers · 1 filter
Regression Analysis for Multivariate Dependent Count Data Using Convolved Gaussian Processes
A'yunin Sofro, Jian Qing Shi, Chunzheng Cao
Research on Poisson regression analysis for dependent data has been developed rapidly in the last decade. One of difficult problems in a multivariate case is how to construct a cro…
A Robust t-process Regression Model with Independent Errors
Wang Zhanfeng, Noh Maengseok, Lee Youngjo +1
Gaussian process regression (GPR) model is well-known to be susceptible to outliers. Robust process regression models based on t-process or other heavy-tailed processes have been d…
Robust functional regression model for marginal mean and subject-specific inferences
Chunzheng Cao, Jian Qing Shi, Youngjo Lee
We introduce flexible robust functional regression models, using various heavy-tailed processes, including a Student -process. We propose efficient algorithms in estimating para…