Jun Yan

Jun Yan

University of Connecticut

H-index: 38

North America-United States

About Jun Yan

Jun Yan, With an exceptional h-index of 38 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of statistics, public health, environment, sports.

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

Transfer Learning with Large-Scale Quantile Regression

Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data

On the maximum likelihood estimation of a discrete, finite support distribution under left-truncation and competing risks

A strength and sparsity preserving algorithm for generating weighted, directed networks with predetermined assortativity

Estimating a discrete distribution subject to random left-truncation with an application to structured finance

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

Pricing time-to-event contingent cash flows: A discrete-time survival analysis approach

Optimal Fingerprinting with Estimating Equations

Jun Yan Information

University

Position

___

Citations(all)

8994

Citations(since 2020)

4628

Cited By

5842

hIndex(all)

38

hIndex(since 2020)

28

i10Index(all)

84

i10Index(since 2020)

68

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

Jun Yan Skills & Research Interests

statistics

public health

environment

sports

Top articles of Jun Yan

Title

Journal

Author(s)

Publication Date

Transfer Learning with Large-Scale Quantile Regression

Technometrics

Jun Jin

Jun Yan

Robert H Aseltine

Kun Chen

2024/2/7

Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data

Statistics and Computing

Zehan Yang

HaiYing Wang

Jun Yan

2024/4

On the maximum likelihood estimation of a discrete, finite support distribution under left-truncation and competing risks

Statistics & Probability Letters

Jackson P Lautier

Vladimir Pozdnyakov

Jun Yan

2024/4/1

A strength and sparsity preserving algorithm for generating weighted, directed networks with predetermined assortativity

Physica A: Statistical Mechanics and its Applications

Yelie Yuan

Jun Yan

Panpan Zhang

2024/2/28

Estimating a discrete distribution subject to random left-truncation with an application to structured finance

Econometrics and Statistics

Jackson P Lautier

Vladimir Pozdnyakov

Jun Yan

2023/6/2

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

Journal of Statistical Software

Sy Han Chiou

Gongjun Xu

Jun Yan

Chiung-Yu Huang

2023/1/28

Pricing time-to-event contingent cash flows: A discrete-time survival analysis approach

Insurance: Mathematics and Economics

Jackson P Lautier

Vladimir Pozdnyakov

Jun Yan

2023/5/1

Optimal Fingerprinting with Estimating Equations

Journal of Climate

Sai Ma

Tianying Wang

Jun Yan

Xuebin Zhang

2023/10/15

Multivariate modeling with copulas and engineering applications

Jun Yan

2023/4/22

Legendary Career and Colorful Life: A Conversation with Dr. Bob Riffenburgh.

Journal of Data Science

Haim Bar

Jun Yan

2023/10/1

Diagnostic Tests for the Necessity of Weight in Regression With Survey Data

International Statistical Review

Feng Wang

HaiYing Wang

Jun Yan

2023/4

Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation

Annals of Applied Statistics

Yan Li

Kun Chen

Jun Yan

Xuebin Zhang

2023

Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses

Statistics in Biosciences

Wenjie Wang

Chongliang Luo

Robert H Aseltine

Fei Wang

Jun Yan

...

2023/6/7

Generating General Preferential Attachment Networks with R Package wdnet

arXiv preprint arXiv:2301.13730

Yelie Yuan

Tiandong Wang

Jun Yan

Panpan Zhang

2023/1/31

Generating directed networks with predetermined assortativity measures

Statistics and Computing

Tiandong Wang

Jun Yan

Yelie Yuan

Panpan Zhang

2022/10

PageRank centrality and algorithms for weighted, directed networks

Physica A: Statistical Mechanics and its Applications

Panpan Zhang

Tiandong Wang

Jun Yan

2022/1/15

An unified framework for point-level, areal, and mixed spatial data: the Hausdorff-Gaussian Process

arXiv preprint arXiv:2208.07900

Lucas da Cunha Godoy

Marcos Oliveira Prates

Jun Yan

2022/8/16

The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage

American Journal of Undergraduate Research

Michael Price

Jun Yan

2022

Incorporating auxiliary information in betweenness measure for input–output networks

Physica A: Statistical Mechanics and its Applications

Shiying Xiao

Jun Yan

Panpan Zhang

2022/12/1

Cyberattack-resilient load forecasting with adaptive robust regression

International Journal of Forecasting

Jieying Jiao

Zefan Tang

Peng Zhang

Meng Yue

Jun Yan

2022/7/1

See List of Professors in Jun Yan University(University of Connecticut)

Co-Authors

H-index: 83
Ming-Hui Chen

Ming-Hui Chen

University of Connecticut

H-index: 54
Dipak K. Dey

Dipak K. Dey

University of Connecticut

H-index: 39
Chiung-Yu Huang

Chiung-Yu Huang

University of California, San Francisco

H-index: 33
Søren Højsgaard

Søren Højsgaard

Aalborg Universitet

H-index: 32
Ivan Kojadinovic

Ivan Kojadinovic

Université de Pau et des Pays de l'Adour

H-index: 28
Marius Hofert

Marius Hofert

University of Waterloo

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