Publications

Peer-reviewed papers in statistics, machine learning, and time series analysis.

1
Conjugate Families of Distributions
Chakraborty, S., & Maiti, T. (2017) Wiley StatsRef: Statistics Reference Online, 1–13
📖 Journal
2
Bayesian Reliability Optimization for Multivariate Binary Responses
Chakraborty, S., & Scott, D. (2018) Model Assisted Statistics and Applications, 13(3), 297–308
📖 Journal 📄 PDF
3
Estimation of Statistical Network and Region-Wise Variable Selection
Chakraborty, S. (2016) Michigan State University (Dissertation)
📖 ProQuest
4
Structural Factorization of Latent Adjacency Matrix, with an Application to Auto Industry Networks
Chakraborty, S., Bhattacharjee, A. & Maiti, T. (2019) Sankhya B
📖 Journal 📄 PDF
5
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment
Chakraborty, S.; Shah, S.; Soltani, K.; Swigart, A. (2019) IEEE ICMLA 2019
📖 IEEE 📄 arXiv PDF
6
Building an Automated and Self-Aware Anomaly Detection System
Chakraborty, S., Shah, S., Soltani, K., Swigart, A., Yang, L., & Buckingham, K. (2020) IEEE International Conference on Big Data 2020
📖 IEEE 📄 arXiv PDF
7
Towards Robust Offline Evaluation: A Causal and Information Theoretic Framework for Debiasing Ranking Systems
Khatami, S. B.; Chakraborty, S.; Xu, R.; Salimi, B. (2025) arXiv:2504.03997 — Zillow Group & UC San Diego
📖 arXiv 📄 PDF