ORCID https://orcid.org/0000-0002-6172-8228
arXiv: https://arxiv.org/a/das_b_1
PREPRINTS
Multivariate Ruin in Lévy-driven Insurance Risk Models under Heavy Tails (with V. Fasen-Hartmann), 2026. arXiv
Measuring Extreme Tail Association (with X. Liu), 2026. arXiv
Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction (with S. Wickramasinghe and D. Herremans), 2026. arXiv
Inference for heavy-tailed data with Gaussian dependence, 2023. arXiv
PUBLICATIONS
Aggregating heavy-tailed random vectors: from finite sums to Lévy processes (with V. Fasen-Hartmann), Advances in Applied Probability, 2026+. arXiv
On asymptotic independence in dimensions larger than two and its implications on risk management (with V. Fasen-Hartmann), Canadian Journal of Statistics, 54(1), 2026: e700036. arXiv
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up, IEEE Transactions on Wireless Communications (with J. Zhu, B. Das, Y. Xie, N, Pappas and H.H. Yang), 25, 7443-7457, 2025. arXiv
Measuring risk contagion in financial networks with CoVaR (with V. Fasen-Hartmann), Finance and Stochastics, 29, 707-755, 2025. arXiv
On heavy-tailed risks under Gaussian copula: the effects of marginal transformation (with V. Fasen-Hartmann), Journal of Multivariate Analysis, 202, Paper no. 105310, 2024. arXiv
Asymptotic behavior of common connections in sparse random networks (with T. Wang and G. Dai), Methodology and Computing in Applied Probability, 24, 2071–2092, 2022. arXiv
Tail probabilities of random linear functions of regularly varying random vectors (with V. Fasen-Hartmann and C. Kluppelberg), Extremes, 25 (4), 721-758, 2022. arXiv
On the heavy-tail behavior of the distributionally robust newsvendor (with A. Dhara and K. Natarajan), Operations Research, 69(4), 1077-1099, 2021. arXiv
Common friends in a preferential attachment model (with S. Ghosh), Stochastic Models, 37(3), 427-447, 2021.
Worst-case expected shortfall with univariate and bivariate marginals (with A. Dhara and K. Natarajan), INFORMS Journal on Computing, 33(1), 370-390, 2021.
Risk concentration under second order regular variation (with M. Kratz), Extremes, 23(3), 381-410, 2020. arXiv
Heavy-tailed random walks, buffered queues, and hidden large deviations (with H. Bernhard), Bernoulli, 26(1), 61-92, 2020. arXiv
Conditional excess risk measures and multivariate regular variation (with V. Fasen-Hartmann), Statistics and Risk Modeling, 36, 1-23, 2019. arXiv
Risk contagion under regular variation and asymptotic tail independence (with V. Fasen-Hartmann), Journal of Multivariate Analysis, 165, 194-215, 2018. arXiv
Hidden regular variation under full and strong asymptotic dependence (with S. Resnick), Extremes, 20(4), 873-904, 2017. arXiv
Detecting tail behavior: mean excess plots with confidence bounds (with S. Ghosh). Extremes, 19(2), 325-349, 2016. arXiv
Generation and detection of multivariate regular variation and hidden regular variation (with S. Resnick). Stochastic Systems, 5(2), 195-238 (electronic), 2015. arXiv
Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process (with S. Engelke and E. Hashorva), Stochastic Processes and their Applications, 125(2), 780-796, 2015. arXiv
Living on the multidimensional edge: seeking hidden risks using regular variation (with A. Mitra and S. Resnick), Advances in Applied Probability, 45(1), 139-163, 2013. arXiv
Weak limits of exploratory plots in extreme value analysis (with S. Ghosh), Bernoulli, 19(1), 308-343, 2013. arXiv
Four theorems and a financial crisis (with P. Embrechts and V. Fasen), International Journal of Approximate Reasoning, 54(6), 701-716, 2013. preprint
On robust tail index estimation for linear long-memory processes (with J. Beran and D. Schell), Journal of Time Series Analysis, 33(3), 406-423, 2012. preprint
Conditioning on an extreme component: model consistency and regular variation on cones (with S. Resnick), Bernoulli, 17(1), 226-252, 2011. arXiv
Detecting a conditional extreme value model (with S. Resnick), Extremes, 14(1), 29-61, 2011. arXiv
QQ plots, random sets, and data from a heavy-tailed distribution (with S. Resnick), Stochastic Models, 24 (1), 103-132, 2008. arXiv
CONFERENCE PROCEEDINGS
J. Zhu, B. Das, N. Pappas, and H.H. Yang (2025), Towards federated learning over the air: Why scaling up helps?, 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp 1-8.
J. Li, Z. Chen, K. F. E. Chong, B. Das, T.Q.S. Quek, and, H.H. Yang (2025), Robust federated learning over the air: Combating heavy-tailed noise with median anchored clipping, 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp 89-96.
S. Sharma, H. S. R. Ong, W. L. Chow, C. M. A. Oei, H. C. Oh, L. Tiah, C. Courcoubetis, W. Q. Yow, B. Das, Z. M. T. Lim, and, M. K. Gupta (2018), Exploration of factors influencing choice of health care provider for non-emergency conditions, 13th Singapore Public Health and Occupational Medicine Conference, Singapore.
J.-U. Klügel, P.Vögtlin, B. Das, V. Chavez-Demoulin, and, D. Farshi (2011), Beurteilung des Risikos externer Überflutungen für das Kernkraftwerk Gösgen, PSA 11, Probabilistische Sicherheitsanalysen in der Kerntechnik, TÜV Symposium, Heidelberg.
Probabilistic Analysis of flooding at Murgenthal for Kernkraft-Goesgen Daeniken (with V. Chavez-Demoulin and P. Embrechts), RiskLab internal report, 2010.
Joint optimization of product assortment and inventory under the marginal distribution model (with S.D. Ahipasaoglu and Z. Sun), preprint, 2020.
B. Das and S. Neftci (2008), Solution manual for Principles of Financial Engineering: 2nd edition, by S. Neftci.
Aggregating regularly varying vectors: phenomena of a few large jumps, April 2024. Video
Heavy tails in a robust newsvendor model, June, 2018. Video
Multivariate regular variation: full dependence and strong dependence, May, 2016. Video
Harald Bernhard, Anulekha Dhara , Paul Embrechts , Sebastian Engelke , Vicky Fasen-Hartmann , Souvik Ghosh , Enkelejd Hashorva , Claudia Kluppelberg, Marie Kratz , Abhimanyu Mitra , Karthik Natarajan , Sidney Resnick.
Research support: Support from EU Marie Curie Actions (FP-7) , MOE ACRF Tier 2 and SUTD-MIT IDC grants is gratefully acknowledged for the research conducted.