Authors: Schach, Ulrike
Title: Spatio-Temporal Models on the Basis of Innovation Processes and Application to Cancer Mortality Data
Language (ISO): en
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.
Subject Headings: conditional autoregressive approach
innovation process
lattice data
ML-estimation
spatio-temporal linear model
URI: http://hdl.handle.net/2003/5021
http://dx.doi.org/10.17877/DE290R-15113
Issue Date: 2000
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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