SUDIPTO BANERJEE

About SUDIPTO BANERJEE

SUDIPTO BANERJEE, With an exceptional h-index of 54 and a recent h-index of 37 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Bayesian inference, Biostatistics, Hierarchical Modeling, Spatial data science, Statistics.

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

Models to support forest inventory and small area estimation using sparsely sampled lidar: a case study involving g-liht lidar in tanana, alaska

Multivariate Varying Coefficient Spatiotemporal Model

Finite population survey sampling: An unapologetic Bayesian perspective

Inference for Gaussian processes with Matérn covariogram on compact Riemannian manifolds

Exact Bayesian Geostatistics Using Predictive Stacking

Association between spill-related exposure to fine particulate matter and peripheral motor and sensory nerve function among oil spill response and cleanup workers following the …

Spatial difference boundary detection for multiple outcomes using Bayesian disease mapping

Bayesian modeling with spatial curvature processes

SUDIPTO BANERJEE Information

University

Position

___

Citations(all)

15922

Citations(since 2020)

7129

Cited By

13310

hIndex(all)

54

hIndex(since 2020)

37

i10Index(all)

139

i10Index(since 2020)

111

Email

University Profile Page

Google Scholar

SUDIPTO BANERJEE Skills & Research Interests

Bayesian inference

Biostatistics

Hierarchical Modeling

Spatial data science

Statistics

Top articles of SUDIPTO BANERJEE

Title

Journal

Author(s)

Publication Date

Models to support forest inventory and small area estimation using sparsely sampled lidar: a case study involving g-liht lidar in tanana, alaska

Journal of Agricultural, Biological and Environmental Statistics

Andrew O Finley

Hans-Erik Andersen

Chad Babcock

Bruce D Cook

Douglas C Morton

...

2024/3/13

Multivariate Varying Coefficient Spatiotemporal Model

Statistics in Biosciences

Qi Qian

Danh V Nguyen

Esra Kürüm

Connie M Rhee

Sudipto Banerjee

...

2024/2/21

Finite population survey sampling: An unapologetic Bayesian perspective

Sankhya A

Sudipto Banerjee

2024/4/8

Inference for Gaussian processes with Matérn covariogram on compact Riemannian manifolds

Journal of Machine Learning Research

Didong Li

Wenpin Tang

Sudipto Banerjee

2023

Exact Bayesian Geostatistics Using Predictive Stacking

arXiv preprint arXiv:2304.12414

Lu Zhang

Wenpin Tang

Sudipto Banerjee

2023/4/24

Association between spill-related exposure to fine particulate matter and peripheral motor and sensory nerve function among oil spill response and cleanup workers following the …

Journal of exposure science & environmental epidemiology

Christina L Norris

Dale P Sandler

Gregory C Pratt

Mark R Stenzel

Patricia A Stewart

...

2023/7/13

Spatial difference boundary detection for multiple outcomes using Bayesian disease mapping

Biostatistics

Leiwen Gao

Sudipto Banerjee

Beate Ritz

2023/10/1

Bayesian modeling with spatial curvature processes

Journal of the American Statistical Association

Aritra Halder

Sudipto Banerjee

Dipak K Dey

2023/3/8

Detecting Spatial Health Disparities Using Disease Maps

arXiv preprint arXiv:2309.02086

Luca Aiello

Sudipto Banerjee

2023/9/5

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene

arXiv preprint arXiv:2307.00450

Soumyakanti Pan

Darpan Das

Gurumurthy Ramachandran

Sudipto Banerjee

2023/7/2

Forest inventory using sparsely sampled LIDAR and NFI: A case study using G-LiHT LiDAR and FIA across Tanana, Alaska

arXiv e-prints

Andrew O Finley

Hans-Erik Anderson

Bruce D Cook

Chad Babcock

Sudipto Banerjee

2023/2

Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population

Biostatistics

Qi Qian

Danh V Nguyen

Donatello Telesca

Esra Kurum

Connie M Rhee

...

2023/6/20

Modeling Multivariate Spatial Dependencies Using Graphical Models

The New England Journal of Statistics in Data Science

DEY Debangan

Abhirup Datta

Sudipto Banerjee

2023/9

Bayesian Hierarchical Modeling and Analysis for Actigraph Data From Wearable Devices

The Annals of Applied Statistics

Pierfrancesco Alaimo Di Loro

Marco Mingione

Jonah Lipsitt

Christina M Batteate

Michael Jerrett

...

2023/12

Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data

Environmetrics

Shinichiro Shirota

Andrew O Finley

Bruce D Cook

Sudipto Banerjee

2023/2

Joint species distribution models with imperfect detection for high‐dimensional spatial data

Ecology

Jeffrey W Doser

Andrew O Finley

Sudipto Banerjee

2023/9

Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” by Huang Huang, Stefano Castruccio, Allison H. Baker and Marc Genton

Journal of Agricultural, Biological and Environmental Statistics

Sudipto Banerjee

2023/6

Discussion of “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun

Biometrics

Sudipto Banerjee

2023/12

Fine particulate matter and incident coronary heart disease events up to 10 years of follow-up among Deepwater Horizon oil spill workers

Environmental research

Dazhe Chen

Dale P Sandler

Alexander P Keil

Gerardo Heiss

Eric A Whitsel

...

2023/1/15

Volatile Hydrocarbon Exposures and Incident Coronary Heart Disease Events: Up to Ten Years of Follow-up among Deepwater Horizon Oil Spill Workers

Environmental health perspectives

Dazhe Chen

Dale P Sandler

Alexander P Keil

Gerardo Heiss

Eric A Whitsel

...

2023/5/24

See List of Professors in SUDIPTO BANERJEE University(University of California, Los Angeles)

Co-Authors

academic-engine