# On a flexible construction of a negative binomial model

**Authors:** Fabrizio Leisen, Rams\'es H. Mena, Freddy Palma Mancilla, Luca Rossini

arXiv: 1812.07271 · 2019-04-10

## TL;DR

This paper introduces a flexible method for constructing stationary Markov models with negative-binomial marginals, providing explicit transition probabilities linked to birth and death processes, and demonstrates its effectiveness on simulated and real data.

## Contribution

It offers a novel closed-form construction of negative-binomial Markov models, connecting them to birth-death processes and enabling practical applications.

## Key findings

- Closed-form transition probabilities derived for the models
- Effective modeling demonstrated on simulated data
- Real data applications validate the approach

## Abstract

This work presents a construction of stationary Markov models with negative-binomial marginal distributions. A simple closed form expression for the corresponding transition probabilities is given, linking the proposal to well-known classes of birth and death processes and thus revealing interesting characterizations. The advantage of having such closed form expressions is tested on simulated and real data.

## Full text

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## Figures

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/1812.07271/full.md

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Source: https://tomesphere.com/paper/1812.07271