mlsanityData to 7 Oct 2026

Confirmation of Binary Clustering in Gamma-Ray Bursts through an Integrated p-value from Multiple Nonparametric Tests of Hypotheses

arXiv 2605.04739 ↗First posted 6 May 2026astro-ph.HE stat.AP stat.MLcited by 1

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Abstract (arXiv)

The paper applies a new, nonparametric, interpoint distance-based measure to confirm the inherent groups prevailing in the brightest source of light in the universe: gamma-ray bursts. Our effective metric, in association with clustering methods like Gaussian-mixture model-based and K-means algorithms, resolves the conflict regarding the possibility about existence of more than binary clusters in the gamma-ray burst population. Here we carry out multiple nonparametric statistical tests of hypotheses, as many as the number of bursts available from the `BATSE' catalog. An integrated p-value achieved from the aforesaid dependent tests solves our concern confirming two groups of short and long bursts.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 88 references that are in the map. First posted on arXiv 6 May 2026.

Builds on

3 of 88 references.

References · 3

  1. 2022A new measure for assessment of clustering based on kernel density estimationcited by 6
  2. 2022A new nonparametric interpoint distance-based measure for assessment of clusteringcited by 3
  3. 2023A new interpoint distance-based clustering algorithm using kernel density estimationcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.