28 citations · 28 across the 3 of their papers we have counts for
3 papers
stat.ME2025
Covariance test for discretely observed functional data: when and how it works?
Yang Zhou, Jin Yang, Fang Yao
For covariance test in functional data analysis, existing methods are developed only for fully observed curves, whereas in practice, trajectories are typically observed discretely…
math.ST2023
Nonparametric Prior Learning in Differential Equation Modeling
Junxiong Jia, Deyu Meng, Zongben Xu +1
This paper addresses Bayesian inference related to partial differential equations (PDEs), particularly nonparametric regression constrained by PDEs. To effectively encode prior inf…
math.ST2016★ 28 cited
Optimal Bayes Classifiers for Functional Data and Density Ratios
Xiongtao Dai, Hans-Georg Müller, Fang Yao
Bayes classifiers for functional data pose a challenge. This is because probability density functions do not exist for functional data. As a consequence, the classical Bayes classi…