Spatiotemporal clustering using Gaussian processes embedded in a mixture model
Author:
Affiliation:
1. Department of Mathematics and Statistics and Organismal and Evolutionary Biology Research Program University of Helsinki Helsinki Finland
2. Data61 CSIRO Hobart Tasmania Australia
Funder
Academy of Finland
Commonwealth Scientific and Industrial Research Organisation
Publisher
Wiley
Subject
Ecological Modeling,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2681
Reference57 articles.
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2. Finite Mixture Models for Mapping Spatially Dependent Disease Counts
3. Ambroise C. Dang M. &Govaert G.(1997). Chapter. Clustering of spatial data by the EM algorithm.geoENV I — Geostatistics for Environmental Applications: Proceedings of the Geostatistics for Environmental Applications Workshop Lisbon Portugal 18–19 November 1996 Springer Netherlands Dordrecht. (pp. 493–504).
4. Identifying clusters in Bayesian disease mapping
5. Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)
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