环境流行病学中潜在污染源问题的马尔可夫链蒙特卡罗方法。
MCMC methods for putative pollution source problems in environmental epidemiology.
作者信息
Lawson A B
机构信息
Department of Mathematical & Computer Sciences, University of Abertay Dundee, U.K.
出版信息
Stat Med. 1995;14(21-22):2473-85. doi: 10.1002/sim.4780142115.
PMID:8711282
Abstract
This paper demonstrates the use of the Gibbs Sampler and other Markov Chain Monte Carlo (MCMC) methods in two applications in environmental epidemiology. The first example concerns the application of a Metropolis-Hastings/Gibbs sampler to a Cox process with a direction-dependent cluster variance parameter. The second example consists of the estimation of the posterior (spatial) distribution of a putative location.
摘要
本文展示了吉布斯采样器和其他马尔可夫链蒙特卡罗（MCMC）方法在环境流行病学两个应用中的使用。第一个例子涉及将 metropolis - hastings/吉布斯采样器应用于具有方向相关聚类方差参数的考克斯过程。第二个例子包括对假定位置的后验（空间）分布的估计。
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