| Integrative methods for post-selection inference under convex constraints S Panigrahi, J Taylor, A Weinstein The Annals of Statistics 49 (5), 2803--2824, 2016 | 52* | 2016 |
| Selective sampling after solving a convex problem XT Harris, S Panigrahi, J Markovic, N Bi, J Taylor arXiv preprint arXiv:1609.05609, 2016 | 38* | 2016 |
| Approximate selective inference via maximum likelihood S Panigrahi, J Taylor Journal of the American Statistical Association 118 (544), 2810-2820, 2023 | 27 | 2023 |
| Causal structure discovery from distributions arising from mixtures of dags B Saeed, S Panigrahi, C Uhler International Conference on Machine Learning, 8336-8345, 2020 | 23 | 2020 |
| Apparatus and method for providing customized ratings for a user N Goela, K Lyons, C Hansson, A Datta, S Panigrahi, R Tandon, W Sheng, ... US Patent US20170337196A1, 0 | 17* | |
| Scalable methods for Bayesian selective inference S Panigrahi, J Taylor Electronic Journal of Statistics 12 (2), 2355-2400, 2018 | 16 | 2018 |
| Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes S Panigrahi, J Zhu, C Sabatti Biostatistics 22 (1), 181-197, 2021 | 13 | 2021 |
| Carving model-free inference S Panigrahi The Annals of Statistics 51 (6), 2318-2341, 2023 | 12* | 2023 |
| An MCMC-free approach to post-selective inference S Panigrahi, J Markovic, J Taylor arXiv preprint arXiv:1703.06154, 2017 | 12 | 2017 |
| Integrative bayesian models using post-selective inference: a case study in radiogenomics S Panigrahi, S Mohammed, A Rao, V Baladandayuthapani Biometrics, 2022 | 10 | 2022 |
| Approximate Post-Selective Inference for Regression with the Group LASSO S Panigrahi, PW MacDonald, D Kessler Journal of Machine Learning Research, 1-49, 2020 | 9 | 2020 |
| Maximal moments and uniform modulus of continuity for stable random fields S Panigrahi, P Roy, Y Xiao Stochastic Processes and their Applications 136, 92-124, 2017 | 7* | 2017 |
| Exact selective inference with randomization S Panigrahi, K Fry, J Taylor Biometrika, asae019, 2024 | 6 | 2024 |
| Selective inference for effect modification: An empirical investigation Q Zhao, S Panigrahi Observational Studies 5 (2), 131-140, 2019 | 6 | 2019 |
| Selective inference using randomized group lasso estimators for general models Y Huang, S Pirenne, S Panigrahi, G Claeskens arXiv preprint arXiv:2306.13829, 2023 | 5 | 2023 |
| Treatment effect estimation with efficient data aggregation S Panigrahi, J Wang, X He arXiv preprint arXiv:2203.12726, 2022 | 5 | 2022 |
| Apparatus and method for concurrent video viewing with user-added realtime content K Lyons, JC Bolot, C Hansson, A Datta, S Panigrahi, R Tandon, W Shang, ... US Patent App. 15/774,485, 2020 | 5 | 2020 |
| Kinematic formula for heterogeneous Gaussian related fields S Panigrahi, J Taylor, S Vadlamani Stochastic Processes and their Applications 129 (7), 2437-2465, 2019 | 3 | 2019 |
| Temporal Evolution of Behavioral User Personas via Latent Variable Mixture Models. S Panigrahi, N Fawaz, A Pudhiyaveetil IUI Workshops, 2019 | 3 | 2019 |
| Selective inference for sparse multitask regression with applications in neuroimaging S Panigrahi, N Stewart, C Sripada, E Levina The Annals of Applied Statistics 18 (1), 445-467, 2024 | 2 | 2024 |
Jonathan TaylorProfessor of Statistics, Stanford UniversityVerified email at stanford.edu
