Interparticle correlation in death processes with application to variability in compartmental models

Author:

Ball Frank,Donnelly Peter

Abstract

This paper is concerned with a pure death process, starting with N individuals, with death rates μ n, n = 1, 2, …, N. It is shown that the fates of distinct individuals are positively correlated if μ n/n decreases with n, and negatively correlated if μ n/n increases with n. The application of this result to the problem of variability in compartmental models is elaborated and in particular a conjecture of Faddy (1985) is settled. Further applications to well-known death processes are also briefly described.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Statistics and Probability

Reference21 articles.

1. On a functional central limit theorem for Markov population processes

2. A Correlation Inequality for Markov Processes in Partially Ordered State Spaces

3. Contribution to the discussion, “Symposium on stochastic networks”;Donnelly;J. R. Statist. Soc. B,1985

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The deterministic Kermack‒McKendrick model bounds the general stochastic epidemic;Journal of Applied Probability;2016-12

2. Extended Poisson process modelling of dilution series data;Journal of the Royal Statistical Society: Series C (Applied Statistics);2008-09

3. Fitting the extended poisson process model to grouped binary data;Computational Statistics;2005-12

4. Likelihood-based modeling and analysis of possum trapping data;Journal of Agricultural, Biological, and Environmental Statistics;2001-06

5. Markov death process modelling and analysis of binary data;Statistics & Probability Letters;1998-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3