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
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
Yu, Y., Chatterjee, S., & Xu, H. (2022). Localising change points in piecewise polynomials of general degrees. Electronic Journal of Statistics, 16(1), 1855-1890. https://doi.org/10.1214/21-EJS1963
Chatterjee, S., & Goswami, S. (2021). Adaptive estimation of multivariate piecewise polynomials and bounded variation functions by optimal decision trees. Annals of Statistics, 49(5), 2531-2551. https://doi.org/10.1214/20-AOS2045
Chatterjee, S., & Goswami, S. (2021). New Risk Bounds for 2D Total Variation Denoising. IEEE Transactions on Information Theory, 67(6), 4060-4091. Article 9354825. https://doi.org/10.1109/TIT.2021.3059657
Guntuboyina, A., Lieu, D., Chatterjee, S., & Sen, B. (2020). Adaptive risk bounds in univariate total variation denoising and trend filtering. Annals of Statistics, 48(1), 205-229. https://doi.org/10.1214/18-AOS1799