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Arkajyoti Saha

Arkajyoti Saha

Johns Hopkins University

H-index: 9

North America-United States

Contact Arkajyoti Saha

About Arkajyoti Saha

Arkajyoti Saha, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Statistical Machine Learning, Selective Inference, Statistical Genetics, Spatial statistics, Unsupervised learning.

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

Inferring independent sets of Gaussian variables after thresholding correlations

nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes

Random forests for binary geospatial data

Random forests for spatially dependent data

Scalable predictions for spatial probit linear mixed models using nearest neighbor Gaussian processes

RandomForestsGLS: An R package for Random Forests for dependent data

Statistical field calibration of a low-cost PM2. 5 monitoring network in Baltimore

Random forests for dependent data

Arkajyoti Saha Information

University

Position

Ph.D student Biostatistics Bloomberg School of Public Health

Citations(all)

245

Citations(since 2020)

206

Cited By

86

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Arkajyoti Saha Skills & Research Interests

Statistical Machine Learning

Selective Inference

Statistical Genetics

Spatial statistics

Unsupervised learning

Top articles of Arkajyoti Saha

Inferring independent sets of Gaussian variables after thresholding correlations

Journal of the American Statistical Association

2024/3/29

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Daniela Witten
Daniela Witten

H-Index: 40

Jacob Bien
Jacob Bien

H-Index: 15

nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes

Nature communications

2023/7/10

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Abhirup Datta
Abhirup Datta

H-Index: 12

Random forests for binary geospatial data

arXiv preprint arXiv:2302.13828

2023/2/27

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Abhirup Datta
Abhirup Datta

H-Index: 12

Random forests for spatially dependent data

Journal of the American Statistical Association

2021/8/11

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Sumanta Basu
Sumanta Basu

H-Index: 10

Abhirup Datta
Abhirup Datta

H-Index: 12

Scalable predictions for spatial probit linear mixed models using nearest neighbor Gaussian processes

Journal of data science: JDS

2022

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Abhirup Datta
Abhirup Datta

H-Index: 12

Sudipto Banerjee
Sudipto Banerjee

H-Index: 37

RandomForestsGLS: An R package for Random Forests for dependent data

Journal of Open Source Software

2022/3/15

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Sumanta Basu
Sumanta Basu

H-Index: 10

Abhirup Datta
Abhirup Datta

H-Index: 12

Statistical field calibration of a low-cost PM2. 5 monitoring network in Baltimore

Atmospheric Environment

2020/12/1

Abhirup Datta
Abhirup Datta

H-Index: 12

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Misti Levy Zamora
Misti Levy Zamora

H-Index: 18

Random forests for dependent data

arXiv preprint arXiv:2007.15421

2020/7/30

Arkajyoti Saha
Arkajyoti Saha

H-Index: 6

Sumanta Basu
Sumanta Basu

H-Index: 10

Abhirup Datta
Abhirup Datta

H-Index: 12

See List of Professors in Arkajyoti Saha University(Johns Hopkins University)

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