Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Research Interests
Nonparametric signal estimation
Shape constrained estimation, e.g., monotonicity, convexity, unimodality
Statistical Information theory
Education
PhD, Statistics, Yale University, 2014
External Links
Recent Publications
Madrid Padilla, O. H., & Chatterjee, S. (2024). Quantile regression by dyadic CART. Electronic Journal of Statistics, 18(1), 1206-1247. https://doi.org/10.1214/24-EJS2214
Chatterjee, S., & Goswami, S. (2023). Spatially Adaptive Online Prediction of Piecewise Regular Functions. Proceedings of Machine Learning Research, 201, 275-309.
Chaudhuri, A., & Chatterjee, S. (2023). A CROSS-VALIDATION FRAMEWORK FOR SIGNAL DENOISING WITH APPLICATIONS TO TREND FILTERING, DYADIC CART AND BEYOND. Annals of Statistics, 51(4), 1534-1560. https://doi.org/10.1214/23-AOS2283
Zhang, T., & Chatterjee, S. (2023). Element-wise estimation error of generalized Fused Lasso. Bernoulli, 29(4), 2691-2718. https://doi.org/10.3150/22-BEJ1557
Padilla, O. H. M., & Chatterjee, S. (2022). Risk bounds for quantile trend filtering. Biometrika, 109(3), 751-768. https://doi.org/10.1093/biomet/asab045