Jun Yang

Jun Yang

University of Oxford

H-index: 13

Europe-United Kingdom

About Jun Yang

Jun Yang, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Computational Statistics, Machine Learning.

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

Complexity results for MCMC derived from quantitative bounds

State-domain Change Point Detection for Nonlinear Time Series Regression

Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics

Stereographic markov chain monte carlo

Spectral inference under complex temporal dynamics

Dimension-free Mixing for High-dimensional Bayesian Variable Selection

Statistical inference with stochastic gradient algorithms

Approximating Bayes: Inference and Modeling

Jun Yang Information

University

Position

___

Citations(all)

711

Citations(since 2020)

335

Cited By

561

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

17

i10Index(since 2020)

12

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Jun Yang Skills & Research Interests

Computational Statistics

Machine Learning

Top articles of Jun Yang

Title

Journal

Author(s)

Publication Date

Complexity results for MCMC derived from quantitative bounds

arXiv preprint arXiv:1708.00829

Jun Yang

Jeffrey S Rosenthal

2017/8/2

State-domain Change Point Detection for Nonlinear Time Series Regression

Journal of Econometrics

Yan Cui

Jun Yang

Zhou Zhou

2023

Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics

arXiv preprint arXiv:2207.12395

Jeffrey Negrea

Jun Yang

Haoyue Feng

Daniel M Roy

Jonathan H Huggins

2022/7/25

Stereographic markov chain monte carlo

arXiv preprint arXiv:2205.12112

Jun Yang

Krzysztof Łatuszyński

Gareth O Roberts

2022/5/24

Spectral inference under complex temporal dynamics

Journal of the American Statistical Association

Jun Yang

Zhou Zhou

2022/1/2

Dimension-free Mixing for High-dimensional Bayesian Variable Selection

Journal of the Royal Statistical Society Series B: Statistical Methodology

Quan Zhou

Jun Yang

Dootika Vats

Gareth O Roberts

Jeffrey S Rosenthal

2022/11

Statistical inference with stochastic gradient algorithms

arXiv preprint arXiv

Jeffrey Negrea

Jun Yang

Haoyue Feng

Daniel M Roy

Jonathan H Huggins

2022/11/14

Approximating Bayes: Inference and Modeling

Jun Yang

2020

Optimal scaling of random-walk metropolis algorithms on general target distributions

Stochastic Processes and their Applications

Jun Yang

Gareth O Roberts

Jeffrey S Rosenthal

2020/10/1

See List of Professors in Jun Yang University(University of Oxford)

Co-Authors

H-index: 54
Jeffrey S. Rosenthal

Jeffrey S. Rosenthal

University of Toronto

H-index: 39
Daniel M. Roy

Daniel M. Roy

University of Toronto

H-index: 32
Fady Alajaji

Fady Alajaji

Queens University

H-index: 25
Robert M ANDERSON

Robert M ANDERSON

University of California, Berkeley

H-index: 18
Jonathan Huggins

Jonathan Huggins

Boston University

academic-engine