Arup Bose

Arup Bose

Indian Statistical Institute

H-index: 25

Asia-India

About Arup Bose

Arup Bose, With an exceptional h-index of 25 and a recent h-index of 13 (since 2020), a distinguished researcher at Indian Statistical Institute, specializes in the field of Epidemics (COVID-19), Free probability, Information economics, Random Matrix Theory, Resampling.

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

Spatio-temporal patterns of diurnal temperature: a random matrix approach I-case of India

The" visible" Wigner matrix

Convergence of high dimensional Toeplitz and related matrices with correlated inputs

Spectral measure of empirical autocovariance matrices of high-dimensional Gaussian stationary processes

Measuring spatial association and testing spatial independence based on short time course data

An association measure for spatio-temporal time series

Modelling COVID-19-III: endemic spread in India

Matrices With Independent Entries

Arup Bose Information

University

Position

___

Citations(all)

2498

Citations(since 2020)

701

Cited By

2021

hIndex(all)

25

hIndex(since 2020)

13

i10Index(all)

65

i10Index(since 2020)

16

Email

University Profile Page

Indian Statistical Institute

Google Scholar

View Google Scholar Profile

Arup Bose Skills & Research Interests

Epidemics (COVID-19)

Free probability

Information economics

Random Matrix Theory

Resampling

Top articles of Arup Bose

Title

Journal

Author(s)

Publication Date

Spatio-temporal patterns of diurnal temperature: a random matrix approach I-case of India

arXiv preprint arXiv:2404.11747

Madhuchhanda Bhattacharjee

Arup Bose

2024/4/17

The" visible" Wigner matrix

arXiv preprint arXiv:2312.12428

Arup Bose

Soumendu Sundar Mukherjee

2023/12/19

Convergence of high dimensional Toeplitz and related matrices with correlated inputs

arXiv preprint arXiv:2310.03479

Kartick Adhikari

Arup Bose

Shambhu Nath Maurya

2023/10/5

Spectral measure of empirical autocovariance matrices of high-dimensional Gaussian stationary processes

Random Matrices: Theory and Applications

Arup Bose

Walid Hachem

2023/4/22

Measuring spatial association and testing spatial independence based on short time course data

arXiv preprint arXiv:2303.16824

Divya Kappara

Arup Bose

Madhuchhanda Bhattacharjee

2023/3/29

An association measure for spatio-temporal time series

Metrika

Divya Kappara

Arup Bose

Madhuchhanda Bhattacharjee

2023/12/23

Modelling COVID-19-III: endemic spread in India

arXiv preprint arXiv:2211.06215

Madhuchhanda Bhattacharjee

Arup Bose

2022/11/11

Matrices With Independent Entries

arXiv preprint arXiv:2205.10811

Arup Bose

Priyanka Sen

2022/5/22

Kernel based estimation of the distribution function for length biased data

Metrika

Arup Bose

Santanu Dutta

2022/4

Time dependent fluctuations of linear eigenvalue statistics of some patterned matrices

Journal of Mathematical Physics

Arup Bose

Shambhu Nath Maurya

Koushik Saha

2022/3/1

Assessing bivariate independence: Revisiting Bergsma's covariance

arXiv preprint arXiv:2212.08921

Divya Kappara

Arup Bose

Madhuchhanda Bhattacharjee

2022/12/17

The political economy of voluntary public service

Public Choice

Arup Bose

Debashis Pal

David EM Sappington

2021/1

Welfare effects of limiting bank loans

Journal of Financial Economic Policy

Arup Bose

Debashis Pal

David Sappington

2021/6/28

Spatio-temporal modelling of COVID-19 data from the Indian State of Kerala

Divya Kappara

M Bhattacharjee

Arup Bose

2021/12

Kernel Density Estimates in a Non-standard Situation

Journal of Statistical Theory and Practice

Arup Bose

Madhuchhanda Bhattacharjee

2021

Random matrices and non-commutative probability

Arup Bose

2021/10/26

Distribution of Eigenvalues of Matrix Ensembles arising from Wigner and Palindromic Toeplitz Blocks

arXiv preprint arXiv:2102.05839

Keller Blackwell

Neelima Borade

Arup Bose

Charles Devlin VI

Noah Luntzlara

...

2021/2/11

Process convergence of fluctuations of linear eigenvalue statistics of random circulant matrices

Random Matrices: Theory and Applications

Arup Bose

Shambhu Nath Maurya

Koushik Saha

2020/11/5

Random matrices with independent entries: beyond non-crossing pair-partitions and semi-circle law

Random Matrices: Theory and Applications

Arup Bose

Koushik Saha

Arusharka Sen

Priyanka Sen

2022/4/8

Some patterned matrices with independent entries

Random Matrices: Theory and Applications

Arup Bose

Koushik Saha

Priyanka Sen

2021/7/27

See List of Professors in Arup Bose University(Indian Statistical Institute)

Co-Authors

H-index: 67
David Sappington

David Sappington

University of Florida

H-index: 40
Sourav Chatterjee

Sourav Chatterjee

Stanford University

H-index: 31
Nitis Mukhopadhyay

Nitis Mukhopadhyay

University of Connecticut

H-index: 22
Ansu Chatterjee

Ansu Chatterjee

University of Minnesota-Twin Cities

H-index: 19
Debashis Pal

Debashis Pal

University of Cincinnati

H-index: 16
Rajat Subhra Hazra

Rajat Subhra Hazra

Indian Statistical Institute

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