hyppo

Last updated on Nov 26, 2022
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Sambit Panda
Sambit Panda
Ph.D. Candidate
Department of Biomedical Engineering

Graduate student at Johns Hopkins creating tools to understand human and animal intelligence.

Publications

The Chi-Square Test of Distance Correlation
Distance correlation has gained much recent attention in the data science community: the sample statistic is straightforward to compute …
Cencheng Shen, Sambit Panda, Joshua T. Vogelstein
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hyppo: A Multivariate Hypothesis Testing Python Package
We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample …
Sambit Panda, Satish Palaniappan, Junhao Xiong, Eric W. Bridgeford, Ronak Mehta, Cencheng Shen, Joshua T. Vogelstein
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Nonpar MANOVA via Independence Testing
The $k$-sample testing problem tests whether or not $k$ groups of data points are sampled from the same distribution. Multivariate …
Sambit Panda, Cencheng Shen, Ronan Perry, Jelle Zorn, Antoine Lutz, Carey E. Priebe, Joshua T. Vogelstein
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Learning Interpretable Characteristic Kernels via Decision Forests
Decision forests are popular tools for classification and regression. These forests naturally produce proximity matrices measuring how …
Cencheng Shen, Sambit Panda, Joshua T. Vogelstein
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Multivariate Independence and K-Sample Testing
With the increase in the amount of data in many fields, a method to consistently and efficiently decipher relationships within high …
Sambit Panda
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