Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability
Reference22 articles.
1. Martingale central limit theorems and asymptotic estimation theory for multitype branching processes;Asmussen;Adv. in Appl. Probab.,1978
2. Stochastic multitype epidemics in a community of households: estimation of threshold parameter R* and secure vaccination coverage;Ball;Biometrika,2004
3. Ordered group reference prior with application to a multinomial problem;Berger;Biometrika,1992
4. General methods for monitoring convergence of iterative simulations;Brooks;J. Comput. Graph. Statist.,1998
5. Devroye, L., 1998. Branching processes and their applications in the analysis of tree structures and tree algorithms. In: Habib, M., McDiarmid, C., Ramirez-Alfonsin, J., Reed, B., (Eds.), Probabilistic Methods for Algorithmic Discrete Mathematics, vol. 16. Springer, Berlin, pp. 249–314.
Cited by 11 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. A bayesian version of Galton–Watson for population growth and its use in the management of small population;MathematicS In Action;2023-09-26
2. Machine learning based parameter estimation of multitype branching processes;THE 5TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS (CIIS 2022): Intelligent and Resilient Digital Innovations for Sustainable Living;2023
3. Methods for robust estimation of multitype branching processes with a focus on the Poisson offspring distribution;AIP Conference Proceedings;2023
4. Modeling Y-Linked Pedigrees through Branching Processes;Mathematics;2020-02-15
5. EM algorithm for statistical estimation of two-type branching processes – A focus on the multinomial offspring distribution;APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 12th International On-line Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’20;2020
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