selected publications academic article Laha, N., & Mukherjee, R. (2023). On Support Recovery With Sparse CCA: Information Theoretic and Computational Limits. IEEE TRANSACTIONS ON INFORMATION THEORY. 69(3), 1695-1738. Laha, N., Moodie, Z., Huang, Y., & Luedtke, A. (2022). Improved inference for vaccine-induced immune responses via shape-constrained methods. Electronic Journal of Statistics. 16(2), 5852-5933. Laha, N., Miao, Z., & Wellner, J. A. (2021). Bi-s*-Concave Distributions. Journal of Statistical Planning and Inference. 215, 127-157. Hahn, G., Lutz, S. M., Laha, N., Cho, M. H., Silverman, E. K., & Lange, C. (2021). A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD). Statistics and Computing. 31(3), 35. Laha, N. (2021). Adaptive estimation in symmetric location model under log-concavity constraint. Electronic Journal of Statistics. 15(1), conference paper Burkholz, R., Laha, N., Mukherjee, R., & Gotovos, A. (2021). On the Existence of Universal Lottery Tickets institutional repository document Koner, S., De Sarkar, N., & Laha, N. (2023). Discovery of new deregulated miRNAs in gingivo buccal carcinoma using Group Benjamini Hochberg method: a commentary on A quest for miRNA bio-marker: a track back approach from gingivo buccal cancer to two different types of precancers Laha, N., Sonabend-W, A., Mukherjee, R., & Cai, T. (2021). Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss Laha, N., Huey, N., Coull, B., & Mukherjee, R. (2021). On Statistical Inference with High Dimensional Sparse CCA Sonabend-W, A., Laha, N., Ananthakrishnan, A. N., Cai, T., & Mukherjee, R. (2020). Semi-Supervised Off Policy Reinforcement Learning Hahn, G., Lutz, S. M., Laha, N., & Lange, C. (2020). A framework to efficiently smooth L1 penalties for linear regression Laha, N., Miao, Z., & Wellner, J. A. (2020). Bi-$s^*$-Concave Distributions Hahn, G., Lutz, S. M., Laha, N., Cho, M. H., Silverman, E. K., & Lange, C. (2020). A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD) software Laha, N. R-Package: SDNNtests Laha, N. R-Package: Support.CCA Laha, N. R-Package: de.bias.CCA Laha, N. R-Package: log.location
teaching activities STAT408 Intro To Linear Models Instructor STAT620 Asymptotic Statistics Instructor STAT685 Directed Studies Instructor STAT691 Research Instructor
education and training Ph.D. in Statistics, University of Washington - (Seattle, Washington, United States) 2019 M.S. in Statistics, Indian Statistical Institute - (Kolkata, India) 2014
awards and honors ADVANCE NCFDD Faculty Success Fellow, conferred by Texas A&M University - (College Station, Texas, United States), 2023