Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY
Bokgyeong Kang, John Hughes, Murali Haran
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引用次数: 0

Abstract

Count data with complex features arise in many disciplines, including ecology, agriculture, criminology, medicine, and public health. Zero inflation, spatial dependence, and non-equidispersion are ...
空间均值参数化康威-麦克斯韦-泊松模型的快速贝叶斯推理
生态学、农业、犯罪学、医学和公共卫生等许多学科都会出现具有复杂特征的计数数据。零膨胀、空间依赖性和非流动分散性是...
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来源期刊
CiteScore
3.50
自引率
8.30%
发文量
153
审稿时长
>12 weeks
期刊介绍: The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.
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