Snigdha Panigrahi, Kevin Fry, and Jonathan Taylor. Exact Selective Inference with Randomization. 2024. Biometrika (Forthcoming) [arxiv] Snigdha Panigrahi, Jingshen Wang, and Xuming He. Treatment Effect Estimation via Efficient Data Aggregation. 2024. Bernoulli (Forthcoming) [arxiv] Snigdha Panigrahi, Natasha Stewart, Chandra Sripada, and Elizaveta Levina. Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging. 2024. Annals of Applied Statistics. [arxiv] [publication] Yiling Huang, Snigdha Panigrahi, and Walter Dempsey. Selective Inference for Sparse Graphs via Neighborhood Selection. 2023. [arxiv] Yiling Huang, Sarah Pirenne, Snigdha Panigrahi, and Gerda Claeskens. Selective Inference using Randomized Group Lasso Estimators for General Models. 2023. [arxiv] Snigdha Panigrahi. Carving model-free inference. 2023. Annals of Statistics. [arxiv] [publication] Snigdha Panigrahi, Peter W. Macdonald, and Daniel Kessler. Approximate Post-Selective Inference for Regression with the Group LASSO. 2023. Journal of Machine Learning Research. [arxiv] [publication] Sifan Liu and Snigdha Panigrahi. Selective Inference with Distributed Data. 2023. [arxiv] Snigdha Panigrahi, Shariq Mohammad, Arvind Rao, and Veerabhadran Baladandayuthapani. Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics. 2022. Biometrics. [arxiv] [publication] Snigdha Panigrahi and Jonathan Taylor. Approximate selective inference via maximum likelihood. 2022. Journal of the American Statistical Association [arxiv]; [publication] Snigdha Panigrahi, Jonathan Taylor, and Asaf Weinstein. Integrative methods for post-selection inference under convex constraints. 2021. Annals of Statistics. [arxiv]; [publication] Snigdha Panigrahi, Junjie Zhu, and Chiara Sabatti. Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes. 2019. Biostatistics. [arxiv]; [publication] Qingyuan Zhao and Snigdha Panigrahi. Selective Inference for Effect Modication: An Empirical Investigation. 2019. Observational Studies: Special issue devoted to ACIC. [arxiv]; [publication] Snigdha Panigrahi and Jonathan Taylor. Scalable methods for Bayesian selective inference. 2018. Electronic Journal of Statistics. [arxiv]; [publication] Snigdha Panigrahi, Jelena Markovic, and Jonathan Taylor. An MCMC-free approach to post-selective inference. 2017. [arxiv] Xiaoying Tian Harris, Snigdha Panigrahi, Jelena Markovic, Nan Bi, and Jonathan Taylor. Selective sampling after solving a convex problem. 2016. [arxiv] |