Avishek Chakraborty
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Arkansas Children's Hospital (2017); University of Connecticut (2009); University of South Australia (2009–2017); Duke University (2009–2010); KPC Medical College and Hospital (2016); Institute of Post Graduate Medical Education and Research (2016); Department of Mathematical Sciences (2026); Medical College and Hospital, Kolkata (2016); University of California, Davis (2009); Texas A&M University (2011–2014)
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Avishek Chakraborty's research program centers on statistical modeling and its application to ecological and natural resource management challenges. He has developed novel hierarchical constrained covariance models for multinomial probit regression, suitable for single- and multi-response datasets. His work also involves constrained functional regression, utilizing remote sensing observations to analyze national forest inventory data over time. Chakraborty has investigated habitat associations of wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley, providing insights for waterfowl management. Additionally, he has quantified the statistical power of monitoring programs for marine protected areas. His scholarship metrics include an h-index of 10, with 33 total publications cited 346 times. He collaborates with David G. Krementz at the University of Arkansas at Fayetteville.
Metrics
- h-index: 10
- Publications: 34
- Citations: 396
Selected Publications
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A novel hierarchical constrained covariance model in multinomial probit regression for single- and multi-response datasets (2026)
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Habitat associations of wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley: implications for waterfowl management beyond the mallard (2021)
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Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations (2020)
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Quantifying the statistical power of monitoring programs for marine protected areas (2020)
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Constrained Functional Regression of National Forest Inventory Data over Time Using Remote Sensing Observations (2018)
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Effects of landscape structure and temporal habitat dynamics on wintering mallard abundance (2018)
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Pulsed terahertz imaging of breast cancer in freshly excised murine tumors (2018)
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An Empirically Derived Pediatric Cardiac Inotrope Score Associated With Pediatric Heart Surgery (2018)
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Terahertz imaging of freshly excised breast cancer using mouse model (2017)
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Statistical signal processing for quantitative assessment of pulsed terahertz imaging of human breast tumors (2017)
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A prognostic tool to predict outcomes in children undergoing the Norwood operation (2017)
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Emulation of Numerical Models With Over-Specified Basis Functions (2016)
Collaboration Network
Top Collaborators
- A novel hierarchical constrained covariance model in multinomial probit regression for single- and multi-response datasets
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