Avishek Chakraborty Data-verified
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Biography and Research Information
OverviewAI-generated summary
Avishek Chakraborty's research focuses on developing and applying statistical models to address ecological and resource management questions. His work includes the analysis of habitat associations for wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley, with implications for waterfowl management. He has also investigated methods for quantifying the statistical power of monitoring programs for marine protected areas.
Chakraborty has published on novel hierarchical constrained covariance models in multinomial probit regression for analyzing single- and multi-response datasets. His research also extends to constrained functional regression of national forest inventory data over time, utilizing remote sensing observations. He holds a h-index of 10 with 32 publications and 337 citations. Key collaborators include David G. Krementz.
Metrics
- h-index: 10
- Publications: 32
- Citations: 341
Selected Publications
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A novel hierarchical constrained covariance model in multinomial probit regression for single- and multi-response datasets (2026)
Collaboration Network
Top Collaborators
- Quantifying the Statistical Power of Monitoring Programs for Marine Protected Areas
- Quantifying the Statistical Power of Monitoring Programs for Marine Protected Areas
- Quantifying the Statistical Power of Monitoring Programs for Marine Protected Areas
- Quantifying the Statistical Power of Monitoring Programs for Marine Protected Areas
- Quantifying the Statistical Power of Monitoring Programs for Marine Protected Areas
- Habitat associations of wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley: implications for waterfowl management beyond the mallard
- Habitat associations of wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley: implications for waterfowl management beyond the mallard
- Habitat associations of wintering dabbling ducks in the Arkansas Mississippi Alluvial Valley: implications for waterfowl management beyond the mallard
- Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations
- Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations
- Constrained Functional Regression of National Forest Inventory Data Over Time Using Remote Sensing Observations
- A novel hierarchical constrained covariance model in multinomial probit regression for single- and multi-response datasets
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