Sabyasachi Mukhopadhyay

About Sabyasachi Mukhopadhyay

Sabyasachi Mukhopadhyay, With an exceptional h-index of 8 and a recent h-index of 6 (since 2020), a distinguished researcher at Universität Hohenheim, specializes in the field of Bayesian applications.

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

Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data

Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters

Hierarchical Bayesian state-space modeling of age-and sex-structured wildlife population dynamics

Sabyasachi Mukhopadhyay Information

University

Position

___

Citations(all)

293

Citations(since 2020)

222

Cited By

162

hIndex(all)

8

hIndex(since 2020)

6

i10Index(all)

7

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Sabyasachi Mukhopadhyay Skills & Research Interests

Bayesian applications

Top articles of Sabyasachi Mukhopadhyay

Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data

The Annals of Applied Statistics

2023/3

Sabyasachi Mukhopadhyay
Sabyasachi Mukhopadhyay

H-Index: 7

Gourab Mukherjee
Gourab Mukherjee

H-Index: 9

Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters

Statistics

2021/1/2

Sabyasachi Mukhopadhyay
Sabyasachi Mukhopadhyay

H-Index: 7

Sourabh Bhattacharya
Sourabh Bhattacharya

H-Index: 14

Hierarchical Bayesian state-space modeling of age-and sex-structured wildlife population dynamics

arXiv preprint arXiv:2005.07468

2020/5/15

See List of Professors in Sabyasachi Mukhopadhyay University(Universität Hohenheim)