Haeran Cho

Haeran Cho

University of Bristol

H-index: 14

Europe-United Kingdom

About Haeran Cho

Haeran Cho, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Bristol, specializes in the field of change-point detection, nonstationary time series analysis, high-dimensional data analysis, energy data modelling.

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

Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm

Detection and inference of changes in high-dimensional linear regression with non-sparse structures

FNETS: Factor-adjusted network estimation and forecasting for high-dimensional time series

High-dimensional time series segmentation via factor-adjusted vector autoregressive modeling

Nonparametric data segmentation in multivariate time series via joint characteristic functions

Robust multiscale estimation of time-average variance for time series segmentation

fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling

Bootstrap confidence intervals for multiple change points based on moving sum procedures

Haeran Cho Information

University

Position

___

Citations(all)

1294

Citations(since 2020)

944

Cited By

755

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Haeran Cho Skills & Research Interests

change-point detection

nonstationary time series analysis

high-dimensional data analysis

energy data modelling

Top articles of Haeran Cho

Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm

arXiv preprint ArXiv:2011.13884

2021/3/10

Haeran Cho
Haeran Cho

H-Index: 10

Detection and inference of changes in high-dimensional linear regression with non-sparse structures

arXiv preprint arXiv:2402.06915

2024/2/10

Haeran Cho
Haeran Cho

H-Index: 10

Housen Li
Housen Li

H-Index: 8

FNETS: Factor-adjusted network estimation and forecasting for high-dimensional time series

Journal of Business & Economic Statistics

2023/10/3

Matteo Barigozzi
Matteo Barigozzi

H-Index: 16

Haeran Cho
Haeran Cho

H-Index: 10

High-dimensional time series segmentation via factor-adjusted vector autoregressive modeling

Journal of the American Statistical Association

2023/9/22

Nonparametric data segmentation in multivariate time series via joint characteristic functions

arXiv preprint arXiv:2305.07581

2023/5/12

Haeran Cho
Haeran Cho

H-Index: 10

Robust multiscale estimation of time-average variance for time series segmentation

Computational Statistics & Data Analysis

2023/3/1

Haeran Cho
Haeran Cho

H-Index: 10

fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling

arXiv preprint arXiv:2301.11675

2023/1/27

Haeran Cho
Haeran Cho

H-Index: 10

Matteo Barigozzi
Matteo Barigozzi

H-Index: 16

Bootstrap confidence intervals for multiple change points based on moving sum procedures

Computational Statistics & Data Analysis

2022/11/1

Haeran Cho
Haeran Cho

H-Index: 10

Claudia Kirch
Claudia Kirch

H-Index: 16

High-dimensional data segmentation in regression settings permitting heavy tails and temporal dependence

arXiv preprint arXiv:2209.08892

2022/9/19

Haeran Cho
Haeran Cho

H-Index: 10

Capturing usage patterns in bike sharing system via multilayer network fused Lasso

arXiv preprint arXiv:2208.08150

2022/8/17

Yunjin Choi
Yunjin Choi

H-Index: 3

Haeran Cho
Haeran Cho

H-Index: 10

Capturing network and dynamic effects in bike sharing system via fused Lasso

2022/8/17

Yunjin Choi
Yunjin Choi

H-Index: 3

Haeran Cho
Haeran Cho

H-Index: 10

High-dimensional GARCH process segmentation with an application to Value-at-Risk

Econometrics and Statistics

2022/7/1

Haeran Cho
Haeran Cho

H-Index: 10

mosum: A package for moving sums in change point analysis

Journal of Statistical Software

2021/3/19

Claudia Kirch
Claudia Kirch

H-Index: 16

Haeran Cho
Haeran Cho

H-Index: 10

Data segmentation algorithms: Univariate mean change and beyond

Econometrics and Statistics

2021/11/2

Haeran Cho
Haeran Cho

H-Index: 10

Claudia Kirch
Claudia Kirch

H-Index: 16

Discussion of ‘Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection’

Journal of the Korean Statistical Society

2020/12

Haeran Cho
Haeran Cho

H-Index: 10

Claudia Kirch
Claudia Kirch

H-Index: 16

Two-stage data segmentation permitting multiscale change points, heavy tails and dependence

Annals of the Institute of Statistical Mathematics

2022/8/1

Haeran Cho
Haeran Cho

H-Index: 10

Claudia Kirch
Claudia Kirch

H-Index: 16

Consistent estimation of high-dimensional factor models when the factor number is over-estimated

2020/1/1

Matteo Barigozzi
Matteo Barigozzi

H-Index: 16

Haeran Cho
Haeran Cho

H-Index: 10

See List of Professors in Haeran Cho University(University of Bristol)

Co-Authors

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