activity
20192022
most citedEstimation of the Mean Function of Functional Data via Deep Neural Networks

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2022

Robust Deep Neural Network Estimation for Multi-dimensional Functional Data

Shuoyang Wang, Guanqun Cao

In this paper, we propose a robust estimator for the location function from multi-dimensional functional data. The proposed estimators are based on the deep neural networks with Re…

stat.ML20222 cited

Deep Neural Network Classifier for Multi-dimensional Functional Data

Shuoyang Wang, Guanqun Cao, Zuofeng Shang

We propose a new approach, called as functional deep neural network (FDNN), for classifying multi-dimensional functional data. Specifically, a deep neural network is trained based…

stat.ME2021

Optimal Classification for Functional Data

Shuoyang Wang, Zuofeng Shang, Guanqun Cao +1

A central topic in functional data analysis is how to design an optimaldecision rule, based on training samples, to classify a data function. We exploit the optimal classification…

stat.ML20203 cited

Estimation of the Mean Function of Functional Data via Deep Neural Networks

Shuoyang Wang, Guanqun Cao, Zuofeng Shang

In this work, we propose a deep neural network method to perform nonparametric regression for functional data. The proposed estimators are based on sparsely connected deep neural n…

stat.ME2019

Simultaneous Confidence Band for Stationary Covariance Function of Dense Functional Data

Jiangyan Wang, Guanqun Cao, Li Wang +1

Inference via simultaneous confidence band is studied for stationary covariance function of dense functional data. A two-stage estimation procedure is proposed based on spline appr…