Comparison of Criteria for Choosing the Number of Classes in Bayesian Finite Mixture Models

标题
Comparison of Criteria for Choosing the Number of Classes in Bayesian Finite Mixture Models
作者
关键词
Simulation and modeling, Blood donors, Normal distribution, Hemoglobin, Statistical models, Mixtures, Markov models, Probability distribution
出版物
PLoS One
Volume 12, Issue 1, Pages e0168838
出版商
Public Library of Science (PLoS)
发表日期
2017-01-13
DOI
10.1371/journal.pone.0168838

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search