To study the impact of climate variables on morbidity of some diseases in Mexico, we propose a spatiotemporal varying coefficients regression model. For that we introduce a new spatiotemporal-dependent process prior, in a Bayesian context, with identically distributed normal marginal distributions and joint multivariate normal distribution. We study its properties and characterise the dependence induced. Our results show that the effect of climate variables, on the incidence of specific diseases, is not constant across space and time and our proposed model is able to capture and quantify those changes.

Luis E. Nieto‐Barajas

Biometrical Journal

BIOMETRICAL JOURNAL 发表关于统计方法及其在生命科学（包括医学、环境科学和农业）中的应用的论文。方法的发展应该受到这些领域中一个有趣且相关的问题的推动。理想情况下，手稿应包括对问题的描述和详细说明将新方法应用于问题的部分。也欢迎案例研究、评论文章和给编辑的信。仅包含广泛数学理论的论文不适合在 BIOMETRICAL JOURNAL 上发表。

The Biometrical Journal publishes papers on statistical methods and their applications in the life sciences, including medicine, environmental science, and agriculture. The development of methods should be driven by interesting and relevant questions in these fields. Ideally, manuscripts should include a description of the problem and a detailed explanation of how the new methods are applied to the problem. Case studies, review articles, and letters to the editor are also welcome. Papers that only contain broad mathematical theory are not suitable for publication in the Biometrical Journal.

《Biometrical Journal》发表关于统计方法及其在生命科学（包括医学、环境科学和农业）中的应用的论文。方法的发展应当受到这些领域中有趣且相关问题的推动。理想情况下，手稿应包括对问题的描述，以及详细说明新方法如何应用于这些问题的部分。我们也欢迎案例研究、评论文章和给编辑的信件。仅包含广泛数学理论的论文不适合在《Biometrical Journal》上发表。

Bayesian regression with spatiotemporal varying coefficients

The results show that the effect of climate variables, on the incidence of specific diseases, is not constant across space and time and the proposed model is able to capture and quantify those changes.

Category	Quartile
生物学	3
生物学, 数学与计算生物学	3
生物学, 统计学与概率论	4

Bayesian regression with spatiotemporal varying coefficients

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Journal Info

Category	Quartile
STATISTICS & PROBABILITY	2