2 citations · 4 across the 5 of their papers we have counts for
5 papers
Bootstrap Nonparametric Inference under Data Integration
Zuofeng Shang, Peijun Sang, Chong Jin
We propose multiplier bootstrap procedures for nonparametric inference and uncertainty quantification of the target mean function, based on a novel framework of integrating target…
Variational Nonparametric Inference in Functional Stochastic Block Model
Zuofeng Shang, Peijun Sang, Yang Feng +1
We propose a functional stochastic block model whose vertices involve functional data information. This new model extends the classic stochastic block model with vector-valued noda…
Scalable inference in functional linear regression with streaming data
Jinhan Xie, Enze Shi, Peijun Sang +3
Traditional static functional data analysis is facing new challenges due to streaming data, where data constantly flow in. A major challenge is that storing such an ever-increasing…
Statistical Inference for Functional Linear Quantile Regression
Peijun Sang, Zuofeng Shang, Pang Du
We propose inferential tools for functional linear quantile regression where the conditional quantile of a scalar response is assumed to be a linear functional of a functional cova…
A reproducing kernel Hilbert space framework for functional data classification
Peijun Sang, Adam B Kashlak, Linglong Kong
We encounter a bottleneck when we try to borrow the strength of classical classifiers to classify functional data. The major issue is that functional data are intrinsically infinit…