Hailin Sang

Hailin Sang

University of Mississippi

H-index: 9

North America-United States

About Hailin Sang

Hailin Sang, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Mississippi, specializes in the field of Time series/random fields, nonparametric statistics, empirical processes, theory on machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the local limit theorems for linear sequences of lower psi-mixing Markov chains

Error analysis of generative adversarial network

Least absolute deviation estimation for AR (1) processes with roots close to unity

On the integrated mean squared error of wavelet density estimation for linear processes

Nonparametric regression with modified ReLU networks

Limit theorems for linear random fields with innovations in the domain of attraction of a stable law

A local limit theorem for linear random fields

A statistician teaches deep learning

Hailin Sang Information

University

Position

Associate Professor The

Citations(all)

202

Citations(since 2020)

133

Cited By

134

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Hailin Sang Skills & Research Interests

Time series/random fields

nonparametric statistics

empirical processes

theory on machine learning

Top articles of Hailin Sang

On the local limit theorems for linear sequences of lower psi-mixing Markov chains

Statistics & Probability Letters

2024/7/1

Error analysis of generative adversarial network

arXiv preprint arXiv:2310.15387

2023/10/23

Mahmud Hasan
Mahmud Hasan

H-Index: 1

Hailin Sang
Hailin Sang

H-Index: 6

Least absolute deviation estimation for AR (1) processes with roots close to unity

Annals of the Institute of Statistical Mathematics

2023/10

Hailin Sang
Hailin Sang

H-Index: 6

Guangyu Yang
Guangyu Yang

H-Index: 6

On the integrated mean squared error of wavelet density estimation for linear processes

Statistical Inference for Stochastic Processes

2023/7

Hailin Sang
Hailin Sang

H-Index: 6

Peter Adamic
Peter Adamic

H-Index: 3

Nonparametric regression with modified ReLU networks

Statistics & Probability Letters

2022/11/1

Hailin Sang
Hailin Sang

H-Index: 6

Limit theorems for linear random fields with innovations in the domain of attraction of a stable law

Stochastic Processes and their Applications

2022/8/1

A local limit theorem for linear random fields

Journal of Time Series Analysis

2021/9

Magda Peligrad
Magda Peligrad

H-Index: 19

Hailin Sang
Hailin Sang

H-Index: 6

A statistician teaches deep learning

Journal of Statistical Theory and Practice

2021/6

Variable bandwidth kernel regression estimation

ESAIM: Probability and Statistics

2021

Hailin Sang
Hailin Sang

H-Index: 6

Lin Ge
Lin Ge

H-Index: 2

Shannon entropy estimation for linear processes

Journal of Risk and Financial Management

2020/9/9

Hailin Sang
Hailin Sang

H-Index: 6

A Berry-Esseen bound of order for martingales

arXiv preprint arXiv:2002.00307

2020/2/2

Xiaohui Ma
Xiaohui Ma

H-Index: 4

Hailin Sang
Hailin Sang

H-Index: 6

A Berry–Esseen bound of order for martingales

Comptes Rendus. Mathématique

2020

Xiaohui Ma
Xiaohui Ma

H-Index: 4

Hailin Sang
Hailin Sang

H-Index: 6

See List of Professors in Hailin Sang University(University of Mississippi)

Co-Authors

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