The Chi-Square Test of Distance Correlation C Shen, S Panda, JT Vogelstein Journal of Computational and Graphical Statistics, 2021 | 62 | 2021 |
Selective and mechanically robust sensors for electrochemical measurements of real-time hydrogen peroxide dynamics in vivo LR Wilson, S Panda, AC Schmidt, LA Sombers Analytical chemistry 90 (1), 888-895, 2018 | 49 | 2018 |
When are deep networks really better than decision forests at small sample sizes, and how? H Xu, KA Kinfu, W LeVine, S Panda, J Dey, M Ainsworth, YC Peng, ... arXiv preprint arXiv:2108.13637, 2021 | 28 | 2021 |
hyppo: A multivariate hypothesis testing Python package S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ... arXiv preprint arXiv:1907.02088, 2019 | 20* | 2019 |
Universally consistent K-sample tests via dependence measures S Panda, C Shen, R Perry, J Zorn, A Lutz, CE Priebe, JT Vogelstein Statistics & Probability Letters, 110278, 2024 | 16* | 2024 |
Learning Interpretable Characteristic Kernels via Decision Forests S Panda, C Shen, JT Vogelstein arXiv preprint arXiv:1812.00029, 2023 | 7* | 2023 |
A Causal Perspective for Batch Effects: When is no answer better than a wrong answer? EW Bridgeford, M Powell, G Kiar, S Noble, J Chung, S Panda, ... | 6* | 2024 |
Partial or complete loss of norepinephrine differentially alters contextual fear and catecholamine release dynamics in hippocampal CA1 LR Wilson, NW Plummer, IY Evsyukova, D Patino, CL Stewart, KG Smith, ... Biological Psychiatry Global Open Science 4 (1), 51-60, 2024 | 4 | 2024 |
Learning sources of variability from high-dimensional observational studies EW Bridgeford, J Chung, B Gilbert, S Panda, A Li, C Shen, A Badea, ... arXiv preprint arXiv:2307.13868, 2023 | 3 | 2023 |
FiPhA: an open-source platform for fiber photometry analysis MF Bridge, LR Wilson, S Panda, KD Stevanovic, AC Letsinger, S McBride, ... Neurophotonics 11 (1), 014305-014305, 2024 | 1 | 2024 |
Great expectations: The Pygmalion Effect S Panda Summer Ventures in Science and Mathematics, 2014 | 1 | 2014 |
Accurate and efficient data-driven psychiatric assessment using machine learning K Konishcheva, B Leventhal, M Koyama, S Panda, JT Vogelstein, ... | | 2024 |
Simplest Streaming Trees H Xu, J Dey, S Panda, JT Vogelstein arXiv preprint arXiv:2110.08483, 2021 | | 2021 |
Multivariate Independence and k-sample Testing S Panda Johns Hopkins University, 2020 | | 2020 |