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, Parthanil Roy, and Yimin Xiao.
Maximal Moments and Uniform Modulus of Continuity for Stable Random Fields. 2021. Stochastic processes and their applications. [arxiv]; [publication]
Basil Saeed, Snigdha Panigrahi, and Caroline Uhler.
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs. 2020. International Conference on Machine Learning. [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, Nadia Fawaz, and Ajith Pudhiyaveetil.
Temporal Evolution of Behavioral User Personas via Latent Variable Mixture models. 2019. IUI Workshops on Exploratory Search and Interactive Data Analytics. [arxiv]; [publication]
Snigdha Panigrahi, Jonathan Taylor, and Sreekar Vadlamani.
Kinematic Formula for Heterogeneous Gaussian Related Fields. 2018. Stochastic processes and their applications. [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]
