5 citations · 10 across the 8 of their papers we have counts for
6 papers · 1 filter
Joint Curve Registration and Classification with Two-level Functional Models
Lin Tang, Pengcheng Zeng, Jian Qing Shi +1
Many classification techniques when the data are curves or functions have been recently proposed. However, the presence of misaligned problems in the curves can influence the perfo…
Modeling Function-Valued Processes with Nonseparable and/or Nonstationary Covariance Structure
Evandro Konzen, Jian Qing Shi, Zhanfeng Wang
We discuss a general Bayesian framework on modeling multidimensional function-valued processes by using a Gaussian process or a heavy-tailed process as a prior, enabling us to hand…
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…
Automatic Detection of Significant Areas for Functional Data with Directional Error Control
Peirong Xu, Youngjo Lee, Jian Qing Shi
To detect differences between the mean curves of two samples in longitudinal study or functional data analysis, we usually need to partition the temporal or spatial domain into sev…