mlsanityData to 7 Oct 2026

Exceedance Probabilities for the Dirichlet Distribution

arXiv 1611.01439 ↗First posted 4 Nov 2016stat.AP math.ST q-bio.NCcited by 1

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Abstract (arXiv)

We derive an efficient method to calculate exceedance probabilities (EP) for the Dirichlet distribution when the number of event types is larger than two. Also, we present an intuitive application of Dirichlet EPs and compare our method to a sampling approach which is the current practice in neuroimaging model selection.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 4 Nov 2016.

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  1. 2023Symbolic Perception Risk in Autonomous Drivingcited by 0