# Exceedance Probabilities for the Dirichlet Distribution

arXiv: https://arxiv.org/abs/1611.01439 · HTML: https://mlsanity.com/paper/1611.01439/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Nov 2016.

## Built on by (most cited first, 1 of 1)

- [Symbolic Perception Risk in Autonomous Driving](https://mlsanity.com/paper/2303.09416/) (2023)

## 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.