research
∙
04/04/2023
A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations
Inferring the parameters of ordinary differential equations (ODEs) from ...
share
research
∙
02/05/2023
Scalable inference in functional linear regression with streaming data
Traditional static functional data analysis is facing new challenges due...
research
∙
03/28/2022
Functional principal component analysis for longitudinal observations with sampling at random
Functional principal component analysis has been shown to be invaluable ...
research
∙
02/23/2022
Statistical Inference for Functional Linear Quantile Regression
We propose inferential tools for functional linear quantile regression w...
research
∙
02/14/2022
Two Gaussian regularization methods for time-varying networks
We model time-varying network data as realizations from multivariate Gau...
research
∙
03/08/2021
A reproducing kernel Hilbert space framework for functional data classification
We encounter a bottleneck when we try to borrow the strength of classica...
research
∙
02/11/2021