mlsanityData to 7 Oct 2026

hyppo: A Multivariate Hypothesis Testing Python Package

arXiv 1907.02088 ↗First posted 3 Jul 2019stat.CO cs.MS stat.MEcited by 8

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Abstract (arXiv)

We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing. While many multivariate independence tests have R packages available, the interfaces are inconsistent and most are not available in Python. hyppo includes many state of the art multivariate testing procedures. The package is easy-to-use and is flexible enough to enable future extensions. The documentation and all releases are available at https://hyppo.neurodata.io.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jul 2019.

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Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 1; 2026: 4.

8 papers.

  1. 2022Unifying Pairwise Interactions in Complex Dynamicscited by 8
  2. 2025From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Mapscited by 1
  3. 2026Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Studycited by 1
  4. 2022Testing for context-dependent changes in neural encoding in naturalistic experimentscited by 0
  5. 2023Learning sources of variability from high-dimensional observational studiescited by 0
  6. 2026ALPACA: A Reinforcement Learning Environment for Medication Repurposing and Treatment Optimization in Alzheimer's Diseasecited by 0
  7. 2026Mind the Approximation: Fisher-Weighted SVD Compression for ViTscited by 0
  8. 2026Memorisation bias in medical AIcited by 0