Tirthankar Dasgupta
Rutgers, The State University of New Jersey
H-index: 24
North America-United States
Top articles of Tirthankar Dasgupta
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Optimal allocation of sample size for randomization-based inference from 2K factorial designs | Journal of Causal Inference | Arun Ravichandran Nicole E Pashley Brian Libgober Tirthankar Dasgupta | 2024/2/8 |
Study of Patients in a Private Psychiatric Unit in Eastern India | Journal of Psychiatry Research Reviews & Reports. SRC/JPSRR-189. DOI: doi. org/10.47363/JPSRR/2024 (6) | Tirthankar Dasgupta Sankha Chatterjee | 2024 |
Comparative efficacy of superheated dry steam application and insecticide spray against common bed bugs under simulated field conditions | Journal of economic entomology | Rodrigo Soares Ramos Richard Cooper Tirthankar Dasgupta Nicole E Pashley Changlu Wang | 2023/2/1 |
Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism | arXiv preprint arXiv:2202.03533 | Nicole E Pashley Kristen B Hunter Katy McKeough Donald B Rubin Tirthankar Dasgupta | 2022/2/7 |
CAUSAL INFERENCE FROM POSSIBLY UNBALANCED SPLIT-PLOT DESIGNS | Statistica Sinica | Rahul Mukerjee Tirthankar Dasgupta | 2022/1/1 |
CLAIMED: A CLAssification-Incorporated Minimum Energy Design to explore a multivariate response surface with feasibility constraints | IEEE Transactions on Automation Science and Engineering | Mert Y Sengul Yao Song Linglin He Adri CT van Duin Ying Hung | 2021/9/14 |
Leveraging the Fisher randomization test using confidence distributions: Inference, combination and fusion learning | Journal of the Royal Statistical Society Series B: Statistical Methodology | Xiaokang Luo Tirthankar Dasgupta Minge Xie Regina Y Liu | 2021/9 |
INDEEDopt: a deep learning-based ReaxFF parameterization framework | npj Computational Materials | Mert Y Sengul Yao Song Nadire Nayir Yawei Gao Ying Hung | 2021/5/19 |
Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework | International Statistical Review | Zach Branson Tirthankar Dasgupta | 2020/4 |
An Initial Design-based Deep Learning Procedure for the Optimization of High Dimensional ReaxFF Parameters | Bulletin of the American Physical Society | MERT SENGUL Yao Song Linglin He Ying Hung Tirthankar Dasgupta | 2020/3/5 |
Temporal dynamics of soil virus and bacterial populations in agricultural and early plant successional soils | Frontiers in microbiology | Krishnakali Roy Dhritiman Ghosh Jennifer M DeBruyn Tirthankar Dasgupta K Eric Wommack | 2020/7/7 |
An initial design-enhanced deep learning-based optimization framework to parameterize multicomponent ReaxFF force fields | Mert Sengul Yao Song Nadire Nayir Yawei Gao Ying Hung | 2020/6/22 |
Co-Authors
