Non-parametric Bayesian inference through MCMC method for Y-linked two-sex branching processes with blind choice-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Non-parametric Bayesian inference through MCMC method for Y-linked two-sex branching processes with blind choice

Published:2018-09-25 Issue:18 Volume:88 Page:3565-3587
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

González Miguel¹^ORCID,Gutiérrez Cristina¹^ORCID,Martínez Rodrigo¹^ORCID

Affiliation:

1. Department of Mathematics and Instituto de Computación Científica Avanzada (ICCAEx), University of Extremadura, Badajoz, Spain

Funder

Ministerio de Economía y Competitividad and the Fondo Europeo de Desarrollo Regional

Junta de Extremadura/European Regional Development Fund

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2018.1526284

Reference34 articles.

1. A Stochastic Model Relating the Number of Cells at X-Inactivation to the Allelic Ratio in Normal Heterozygous Adult Females

2. Stochastic Processes in Genetics and Evolution

3. On the inclusion of self regulating branching processes in the working paradigm of evolutionary and population genetics

4. Applications of the Galton–Watson process to human DNA evolution and demography

5. Bisexual branching processes in a genetic context: The extinction problem for Y-linked genes

Cited by 3 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. Bayesian Inference in Y-Linked Two-Sex Branching Processes with Mutations: ABC Approach;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-03-01

2. Limiting Genotype Frequencies of Y-Linked Genes with a Mutant Allele in a Two-Sex Population;Mathematics;2021-01-09

3. Modeling Y-Linked Pedigrees through Branching Processes;Mathematics;2020-02-15

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