Hierarchical Bayesian Spatio-Temporal Conway–Maxwell Poisson Models with Dynamic Dispersion

标题
Hierarchical Bayesian Spatio-Temporal Conway–Maxwell Poisson Models with Dynamic Dispersion
作者
关键词
Count data, Empirical orthogonal functions, Hierarchical model, Kernel principal component analysis, Nonlinear, Overdispersion, Threshold vector autoregressive model, Underdispersion
出版物
出版商
Springer Nature
发表日期
2013-05-29
DOI
10.1007/s13253-013-0141-2

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now