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\n  \n 2025\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models.\n \n \n \n\n\n \n Purkayastha, S.; and Song, P. X.\n\n\n \n\n\n\n arXiv preprint arXiv:2311.04696. 2025.\n \n\n\n\n
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@article{purkayastha2025quantification,\n  title={Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models},\n  author={Purkayastha, Soumik and Song, Peter X-K},\n  journal={arXiv preprint arXiv:2311.04696},\n  year={2025}\n}\n\n
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\n \n\n \n \n \n \n \n A Mechanistic Framework for Collider Detection in Observational Data.\n \n \n \n\n\n \n Purkayastha, S.; and Song, P. X.\n\n\n \n\n\n\n arXiv preprint arXiv:2502.10317. 2025.\n \n\n\n\n
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@article{purkayastha2025mechanistic,\n  title={A Mechanistic Framework for Collider Detection in Observational Data},\n  author={Purkayastha, Soumik and Song, Peter X-K},\n  journal={arXiv preprint arXiv:2502.10317},\n  year={2025}\n}\n\n
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\n \n\n \n \n \n \n \n Yoga Effect on Quality-of-Life Study Among Patients with Idiopathic Pulmonary Fibrosis (YES-IPF).\n \n \n \n\n\n \n Kadura, S.; Purkayastha, S.; Benditt, J.; Anand, A.; Collins, B.; De Quadros, M.; Hobson, M.; Biswas, M.; Ho, L.; Spino, C.; and others\n\n\n \n\n\n\n medRxiv,2025–05. 2025.\n \n\n\n\n
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@article{kadura2025yoga,\n  title={Yoga Effect on Quality-of-Life Study Among Patients with Idiopathic Pulmonary Fibrosis (YES-IPF)},\n  author={Kadura, Suha and Purkayastha, Soumik and Benditt, Joshua and Anand, Amit and Collins, Bridget and De Quadros, Miguele and Hobson, Mafara and Biswas, MJ and Ho, Lawrence and Spino, Cathie and others},\n  journal={medRxiv},\n  pages={2025--05},\n  year={2025},\n  publisher={Cold Spring Harbor Laboratory Press}\n}\n\n
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\n \n\n \n \n \n \n \n The Prevalence of Social Needs Among LGB+ Veterans: A National Survey of VHA Primary Care Patients.\n \n \n \n\n\n \n Lamba, S.; Frank, D. A.; McCoy, J. L.; Russell, L. E.; Purkayastha, S.; Gordon, J.; Leder, S. M.; Procario, G. T.; Moy, E.; and Hausmann, L. R.\n\n\n \n\n\n\n In 2025 AcademyHealth Annual Research Meeting, 2025. \n \n\n\n\n
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@inproceedings{lamba2025prevalence,\n  title={The Prevalence of Social Needs Among LGB+ Veterans: A National Survey of VHA Primary Care Patients},\n  author={Lamba, Shane and Frank, David A. and McCoy, Jennifer L. and Russell, Lauren E. and Purkayastha, Soumik and Gordon, Joshua and Leder, Sarah M. and Procario, Gregory T. and Moy, Ernest, M. and Hausmann, Leslie R.M.},\n  booktitle={2025 AcademyHealth Annual Research Meeting},\n  year={2025}\n}\n\n
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\n \n\n \n \n \n \n \n Patient-Reported Outcomes Correlate with Clinical Outcomes in Patients with Idiopathic Pulmonary Fibrosis.\n \n \n \n\n\n \n Purkayastha, S.; Kadura, S.; Spino, C.; and Raghu, G.\n\n\n \n\n\n\n medRxiv,2025–05. 2025.\n \n\n\n\n
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@article{purkayastha2025patient,\n  title={Patient-Reported Outcomes Correlate with Clinical Outcomes in Patients with Idiopathic Pulmonary Fibrosis},\n  author={Purkayastha, Soumik and Kadura, Suha and Spino, Cathie and Raghu, Ganesh},\n  journal={medRxiv},\n  pages={2025--05},\n  year={2025},\n  publisher={Cold Spring Harbor Laboratory Press}\n}
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\n \n\n \n \n \n \n \n fastMI: A fast and consistent copula-based nonparametric estimator of mutual information.\n \n \n \n\n\n \n Purkayastha, S.; and Song, P. X.\n\n\n \n\n\n\n Journal of Multivariate Analysis, 201: 105270. 2024.\n \n\n\n\n
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@article{purkayastha2024fastmi,\n  title={fastMI: A fast and consistent copula-based nonparametric estimator of mutual information},\n  author={Purkayastha, Soumik and Song, Peter X-K},\n  journal={Journal of Multivariate Analysis},\n  volume={201},\n  pages={105270},\n  year={2024},\n  publisher={Academic Press}\n}\n\n
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\n \n\n \n \n \n \n \n Statistical Methods To Investigate Asymmetric Association and Directionality In Biomedical Studies.\n \n \n \n\n\n \n Purkayastha, S.\n\n\n \n\n\n\n Ph.D. Thesis, 2024.\n \n\n\n\n
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@phdthesis{purkayastha2024statistical,\n  title={Statistical Methods To Investigate Asymmetric Association and Directionality In Biomedical Studies},\n  author={Purkayastha, Soumik},\n  year={2024}\n}\n\n
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@article{purkayastha2023asymmetric,\n  title={Asymmetric predictability in causal discovery: an information theoretic approach},\n  author={Purkayastha, Soumik and Song, Peter XK},\n  journal={arXiv preprint arXiv:2210.14455},\n  year={2023}\n}\n\n
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Extending the susceptible-exposed-infected-removed (SEIR) model to handle the false negative rate and symptom-based administration of COVID-19 diagnostic tests: SEIR-fansy.\n \n \n \n\n\n \n Bhaduri, R.; Kundu, R.; Purkayastha, S.; Kleinsasser, M.; Beesley, L. J; Mukherjee, B.; and Datta, J.\n\n\n \n\n\n\n Statistics in medicine, 41(13): 2317–2337. 2022.\n \n\n\n\n
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@article{bhaduri2022extending,\n  title={Extending the susceptible-exposed-infected-removed (SEIR) model to handle the false negative rate and symptom-based administration of COVID-19 diagnostic tests: SEIR-fansy},\n  author={Bhaduri, Ritwik and Kundu, Ritoban and Purkayastha, Soumik and Kleinsasser, Michael and Beesley, Lauren J and Mukherjee, Bhramar and Datta, Jyotishka},\n  journal={Statistics in medicine},\n  volume={41},\n  number={13},\n  pages={2317--2337},\n  year={2022}\n}\n\n
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\n \n\n \n \n \n \n \n Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience.\n \n \n \n\n\n \n Salvatore, M.; Purkayastha, S.; Ganapathi, L.; Bhattacharyya, R.; Kundu, R.; Zimmermann, L.; Ray, D.; Hazra, A.; Kleinsasser, M.; Solomon, S.; and others\n\n\n \n\n\n\n Science Advances, 8(24). 2022.\n \n\n\n\n
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@article{salvatore2022lessons,\n  title={Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience},\n  author={Salvatore, Maxwell and Purkayastha, Soumik and Ganapathi, Lakshmi and Bhattacharyya, Rupam and Kundu, Ritoban and Zimmermann, Lauren and Ray, Debashree and Hazra, Aditi and Kleinsasser, Michael and Solomon, Sunil and others},\n  journal={Science Advances},\n  volume={8},\n  number={24},\n  year={2022},\n  publisher={American Association for the Advancement of Science}\n}\n\n
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\n  \n 2021\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n A comparison of five epidemiological models for transmission of SARS-CoV-2 in India.\n \n \n \n\n\n \n Purkayastha, S.; Bhattacharyya, R.; Bhaduri, R.; Kundu, R.; Gu, X.; Salvatore, M.; Ray, D.; Mishra, S.; and Mukherjee, B.\n\n\n \n\n\n\n BMC infectious diseases, 21(1): 1–23. 2021.\n \n\n\n\n
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@article{purkayastha2021comparison,\n  title={A comparison of five epidemiological models for transmission of SARS-CoV-2 in India},\n  author={Purkayastha, Soumik and Bhattacharyya, Rupam and Bhaduri, Ritwik and Kundu, Ritoban and Gu, Xuelin and Salvatore, Maxwell and Ray, Debashree and Mishra, Swapnil and Mukherjee, Bhramar},\n  journal={BMC infectious diseases},\n  volume={21},\n  number={1},\n  pages={1--23},\n  year={2021},\n  publisher={BioMed Central}\n}\n\n
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\n \n\n \n \n \n \n \n Estimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in India.\n \n \n \n\n\n \n Purkayastha, S.; Kundu, R.; Bhaduri, R.; Barker, D.; Kleinsasser, M.; Ray, D.; and Mukherjee, B.\n\n\n \n\n\n\n BMC Research Notes, 14(262): 1–7. 2021.\n \n\n\n\n
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@article{purkayastha2021estimating,\n  title={Estimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in India},\n  author={Purkayastha, Soumik and Kundu, Ritoban and Bhaduri, Ritwik and Barker, Daniel and Kleinsasser, Michael and Ray, Debashree and Mukherjee, Bhramar},\n  journal={BMC Research Notes},\n  volume={14},\n  number={262},\n  pages={1--7},\n  year={2021},\n  publisher={Springer Nature}\n}\n\n
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\n \n\n \n \n \n \n \n SARS-CoV-2 infection fatality rates in India: systematic review, meta-analysis and model-based estimation.\n \n \n \n\n\n \n Zimmermann, L.; Bhattacharya, S.; Purkayastha, S.; Kundu, R.; Bhaduri, R.; Ghosh, P.; and Mukherjee, B.\n\n\n \n\n\n\n Studies in Microeconomics, 9(2): 137–179. 2021.\n \n\n\n\n
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@article{zimmermann2021sars,\n  title={SARS-CoV-2 infection fatality rates in India: systematic review, meta-analysis and model-based estimation},\n  author={Zimmermann, Lauren and Bhattacharya, Subarna and Purkayastha, Soumik and Kundu, Ritoban and Bhaduri, Ritwik and Ghosh, Parikshit and Mukherjee, Bhramar},\n  journal={Studies in Microeconomics},\n  volume={9},\n  number={2},\n  pages={137--179},\n  year={2021},\n  publisher={SAGE Publications Sage India: New Delhi, India}\n}\n\n
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\n \n\n \n \n \n \n \n Under-Reporting Does Hurt the COVID Fight.\n \n \n \n\n\n \n Mukherjee, B.; Purkayastha, S.; Salvatore, M.; and Mishra, S.\n\n\n \n\n\n\n The Hindu. 2021.\n \n\n\n\n
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@article{mukherjee2021under,\n  title={Under-Reporting Does Hurt the COVID Fight},\n  author={Mukherjee, Bhramar and Purkayastha, Soumik and Salvatore, Maxwell and Mishra, Swapnil},\n  journal={The Hindu},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n A Spatiotemporal Epidemiological Prediction Model to Inform County-level COVID-19 Risk in the USA.\n \n \n \n\n\n \n Zhou, Y.; Wang, L.; Zhang, L.; Shi, L.; Yang, K.; Zhao, B.; Overton, W.; Purkayastha, S.; and Song, P.\n\n\n \n\n\n\n Harvard Data Science Review, (Special Issue - COVID-19). 2020.\n \n\n\n\n
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@article{zhou2020spatiotemporal,\n  title={A Spatiotemporal Epidemiological Prediction Model to Inform County-level COVID-19 Risk in the USA},\n  author={Zhou, Yiwang and Wang, Lili and Zhang, Leyao and Shi, Lan and Yang, Kangping and Zhao, Bangyao and Overton, William and Purkayastha, Soumik and Song, Peter},\n  journal={Harvard Data Science Review},\n  number={Special Issue - COVID-19},\n  year={2020}\n}\n\n
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\n \n\n \n \n \n \n \n Are women leaders significantly better at controlling the contagion during the COVID-19 pandemic?.\n \n \n \n\n\n \n Purkayastha, S.; Salvatore, M.; and Mukherjee, B.\n\n\n \n\n\n\n Journal of Health and Social Sciences, 5(2): 231–239. 2020.\n \n\n\n\n
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@article{purkayastha2020women,\n  title={Are women leaders significantly better at controlling the contagion during the COVID-19 pandemic?},\n  author={Purkayastha, Soumik and Salvatore, Maxwell and Mukherjee, Bhramar},\n  journal={Journal of Health and Social Sciences},\n  volume={5},\n  number={2},\n  pages={231--239},\n  year={2020},\n  publisher={Edizioni FS Publishers}\n}\n\n
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\n \n\n \n \n \n \n \n A Review of Multi-Compartment Infectious Disease Models.\n \n \n \n\n\n \n Tang, L.; Zhou, Y.; Wang, L.; Purkayastha, S.; Zhang, L.; He, J.; Wang, F.; and Song, P. X.\n\n\n \n\n\n\n International Statistical Review, 88(2). 2020.\n \n\n\n\n
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@article{tang2020review,\n  title={A Review of Multi-Compartment Infectious Disease Models},\n  author={Tang, Lu and Zhou, Yiwang and Wang, Lili and Purkayastha, Soumk and Zhang, Leyao and He, Jie and Wang, Fei and Song, Peter Xuekun},\n  journal={International Statistical Review},\n  volume={88},\n  number={2},\n  year={2020},\n  publisher={John Wiley \\& Sons}\n}\n\n
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\n \n\n \n \n \n \n \n On minimum Bregman divergence inference.\n \n \n \n\n\n \n Purkayastha, S.; and Basu, A.\n\n\n \n\n\n\n 2020.\n \n\n\n\n
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@misc{purkayastha2020minimum,\n  title={On minimum Bregman divergence inference},\n  author={Purkayastha, Soumik and Basu, Ayanendranath},\n  journal={arXiv},\n  number={arXiv:2008.06987},\n  year={2020}\n}\n\n
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\n \n\n \n \n \n \n \n Prediction of Monthly Hilsa (Tenualosa ilisha) Catch in the Northern Bay of Bengal using Bayesian Structural Time Series Model.\n \n \n \n\n\n \n Giri, S.; Purkayastha, S.; Hazra, S.; Chanda, A.; Das, I.; and Das, S.\n\n\n \n\n\n\n Regional Studies in Marine Science. 2020.\n \n\n\n\n
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@article{giri2020prediction,\n  title={Prediction of Monthly Hilsa (Tenualosa ilisha) Catch in the Northern Bay of Bengal using Bayesian Structural Time Series Model},\n  author={Giri, Sandip and Purkayastha, Soumik and Hazra, Sugata and Chanda, Abhra and Das, Isha and Das, Sourav},\n  journal={Regional Studies in Marine Science},\n  year={2020}\n}\n\n
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\n \n\n \n \n \n \n \n Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations.\n \n \n \n\n\n \n Salvatore, M.; Basu, D.; Ray, D.; Kleinsasser, M.; Purkayastha, S.; Bhattacharyya, R.; and Mukherjee, B.\n\n\n \n\n\n\n BMJ Open, 10(12): 10–1136. 2020.\n \n\n\n\n
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@article{salvatore2020comprehensive,\n  title={Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations},\n  author={Salvatore, Maxwell and Basu, Deepankar and Ray, Debashree and Kleinsasser, Mike and Purkayastha, Soumik and Bhattacharyya, Rupam and Mukherjee, Bhramar},\n  journal={BMJ Open},\n  volume={10},\n  number={12},\n  pages={10--1136},\n  year={2020},\n  publisher={BMJ Journals}\n}\n\n
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\n \n\n \n \n \n \n \n Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al.\n \n \n \n\n\n \n Purkayastha, S.; and Song, P. X.\n\n\n \n\n\n\n Statistics and Its Interface, 14(1): 21–22. 2020.\n \n\n\n\n
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@article{purkayastha2020discussion,\n  title={Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al.},\n  author={Purkayastha, Soumik and Song, Peter Xuekun},\n  journal={Statistics and Its Interface},\n  volume={14},\n  number={1},\n  pages={21--22},\n  year={2020},\n  publisher={International Press DOI: https://dx.doi.org/10.4310/20-SII652}\n}\n\n
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\n \n\n \n \n \n \n \n Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms.\n \n \n \n\n\n \n Ray, D.; Salvatore, M.; Bhattacharyya, R.; Wang, L.; Du, J.; Mohammed, S.; Purkayastha, S.; Halder, A.; Rix, A.; Barker, D.; and others\n\n\n \n\n\n\n Harvard data science review, 2020(Suppl 1). 2020.\n \n\n\n\n
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@article{ray2020predictions,\n  title={Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms},\n  author={Ray, Debashree and Salvatore, Maxwell and Bhattacharyya, Rupam and Wang, Lili and Du, Jiacong and Mohammed, Shariq and Purkayastha, Soumik and Halder, Aritra and Rix, Alexander and Barker, Daniel and others},\n  journal={Harvard data science review},\n  volume={2020},\n  number={Suppl 1},\n  year={2020},\n  publisher={NIH Public Access}\n}\n\n
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