Bayesian regression with spatiotemporal varying coefficients

DOI10.1002/BIMJ.201900098zbMath1448.62181arXiv1812.07704OpenAlexW3006353072WikidataQ89670882 ScholiaQ89670882MaRDI QIDQ5135524

Luis E. Nieto-Barajas

Publication date: 23 November 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.07704

zbMATH Keywords

latent variablesautoregressive processesstationary processesdisease mappingclimate analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

A Bayesian multistage spatio‐temporally dependent model for spatial clustering and variable selection ⋮ General dependence structures for some models based on exponential families with quadratic variance functions ⋮ A class of dependent Dirichlet processes via latent multinomial processes

This page was built for publication: Bayesian regression with spatiotemporal varying coefficients