Conference Talks

Reference Prior Development for Exponential Random Graph Model — Sayan Chakraborty & Tapabrata Maiti, Michigan State University. Joint Statistical Meetings, 2014.

Latent Space Linkages of Three US Auto Manufacturing Giants — Sayan Chakraborty, Arnab Bhattacharjee & Taps Maiti. European Seminar on Bayesian Econometrics, 2015.

Region-Wise Variable Selection with Bayesian Group Lasso — Sayan Chakraborty & Tapabrata Maiti, Michigan State University. Joint Statistical Meetings, 2016.

Bayesian Optimization under Multivariate Binary Response Surface using Latent Variables — Sayan Chakraborty, Michigan State University. Spring Research Conference, 2016.

Amazon Product Co-Purchasing Network Estimation Through ERGM Model Using Reference Prior — Sayan Chakraborty, Michigan State University. Conference on Statistical Practice, 2017.

Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment — Sayan Chakraborty, Zillow Inc. Joint Statistical Meetings, 2019.

Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment — S. Chakraborty, S. Shah, K. Soltani, A. Swigart. ICMLA 2019.

Building an Automated and Self-Aware Anomaly Detection System — Chakraborty, S., Shah, S., Soltani, K., Swigart, A., Yang, L., & Buckingham, K. Big Data 2020.

Scaling AutoML-Driven Anomaly Detection with Luminaire — Sayan Chakraborty & Smit Shah, Zillow Inc. Data+AI Summit 2021.