## SUMMARY For a Markov reward process, where upper and lower bounds for the transition rates and rewards are known, a new approach to bound the expected reward is presented. Based on a previous paper where sharp bounds have been defined for the problem, but only an inefficient and unstable algorit
✦ LIBER ✦
Bounding the equilibrium distribution of Markov population models
✍ Scribed by Tuǧrul Dayar; Holger Hermanns; David Spieler; Verena Wolf
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 705 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1070-5325
- DOI
- 10.1002/nla.795
No coin nor oath required. For personal study only.
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## Abstract Association analysis of genetic polymorphisms has been mostly performed in a case‐control setting with unrelated affected subjects compared with unrelated unaffected subjects. In this paper, we present a Bayesian method for analyzing such case‐control data when the population is in Hard