64 citations · 192 across the 29 of their papers we have counts for
31 papers
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference
Taehee Lee, Jun S. Liu
Despite the widespread utilization of Gaussian process models for versatile nonparametric modeling, they exhibit limitations in effectively capturing abrupt changes in function smo…
On the Optimality of Functional Sliced Inverse Regression
Rui Chen, Songtao Tian, Dongming Huang +2
In this paper, we prove that functional sliced inverse regression (FSIR) achieves the optimal (minimax) rate for estimating the central space in functional sufficient dimension red…
Monotone Cubic B-Splines with a Neural-Network Generator
Lijun Wang, Xiaodan Fan, Huabai Li +1
We present a method for fitting monotone curves using cubic B-splines, which is equivalent to putting a monotonicity constraint on the coefficients. We explore different ways of en…
Varying Coefficient Model via Adaptive Spline Fitting
Xufei Wang, Bo Jiang, Jun S. Liu
The varying coefficient model has received broad attention from researchers as it is a powerful dimension reduction tool for non-parametric modeling. Most existing varying coeffici…
On Gibbs Sampling for Structured Bayesian Models Discussion of paper by Zanella and Roberts
Xiaodong Yang, Jun S. Liu
This article is a discussion of Zanella and Roberts' paper: Multilevel linear models, gibbs samplers and multigrid decompositions. We consider several extensions in which the multi…
Convergence Rate of Multiple-try Metropolis Independent sampler
Xiaodong Yang, Jun S. Liu
The Multiple-try Metropolis (MTM) method is an interesting extension of the classical Metropolis-Hastings algorithm. However, theoretical understandings of its convergence behavior…