Di Wu, Jacob Bien and Snigdha Panigrahi. Hierarchical Clustering with Confidence . [arxiv]

Soham Bakshi, and Snigdha Panigrahi. Classification Trees with Valid Inference via the Exponential Mechanism . [arxiv]

Sifan Liu, and Snigdha Panigrahi. Flexible Selective Inference with Flow-based Transport Maps . [arxiv]

Yiling Huang, Snigdha Panigrahi, Guo Yu, and Jacob Bien. Reluctant Interaction Inference after Additive Modeling . [arxiv]

Sofia Guglielmini, Gerda Claeskens, and Snigdha Panigrahi. Selective Inference in Graphical Models via Maximum Likelihood [arxiv]

Yiling Huang, Snigdha Panigrahi, and Walter Dempsey. Selective Inference for Sparse Graphs via Neighborhood Selection 2025. Electronic Journal of Statistics (Accepted). [arxiv]

Ronan Perry, Snigdha Panigrahi, Jacob Bien, and Daniela Witten. Inference on the proportion of variance explained in principal component analysis 2025. Journal of the American Statistical Association (Accepted). [arxiv]

Yiling Huang, Sarah Pirenne, Snigdha Panigrahi, and Gerda Claeskens. Selective Inference using Randomized Group Lasso Estimators for General Models 2025. Electronic Journal of Statistics (Accepted). [arxiv]

Sifan Liu, and Snigdha Panigrahi. Selective Inference with Distributed Data 2025. Journal of Machine Learning Research. [arxiv] [publication]

Snigdha Panigrahi, Jingshen Wang, and Xuming He. Treatment Effect Estimation via Efficient Data Aggregation 2025. Bernoulli. [arxiv] [publication]

Yumeng Wang, Snigdha Panigrahi, and Xuming He. Asymptotically-exact selective inference for quantile regression 2025. Annals of Statistics (Accepted). [arxiv]

Soham Bakshi, Yiling Huang, Snigdha Panigrahi, and Walter Dempsey. Inference with Randomized Regression Trees 2024. [arxiv]

Sifan Liu, Snigdha Panigrahi, and Jake A. Soloff. Cross-Validation with Antithetic Gaussian Randomization 2024. [arxiv]

Soham Bakshi, Walter Dempsey, and Snigdha Panigrahi. Selective Inference for Time-varying Effect Moderation 2024. [arxiv]

Kevin Fry, Snigdha Panigrahi, and Jonathan Taylor. Assumption-Lean Data Fission with Resampled Data (Discussion of Data fission: splitting a single data point) 2024. Journal of the American Statistical Association. [publication]

Snigdha Panigrahi, Kevin Fry, and Jonathan Taylor. Exact Selective Inference with Randomization 2024. Biometrika. [arxiv] [publication]

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]

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]

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]