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Spatio-temporal models on the basis of innovation processes and application to cancer mortality data

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  • Schach, Ulrike

Abstract

The aim of this paper is to find a modeling approach for spatially and temporally structured data. The spatial distribution is considered to form an irregular lattice with a specified definition of neighborhood. Additional to the spatial component, a temporal autoregressive parameter, and a time trend are modeled within a multivariates Markov process. This Markov process can be expressed on the basis of an innovation process, which allows for statistical inference on various parameters.

Suggested Citation

  • Schach, Ulrike, 2000. "Spatio-temporal models on the basis of innovation processes and application to cancer mortality data," Technical Reports 2000,16, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200016
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    File URL: https://www.econstor.eu/bitstream/10419/77266/2/2000-16.pdf
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