Electronic Journal of Statistics
- Electron. J. Statist.
- Volume 2 (2008), 213-233.
Spatial modelling for mixed-state observations
In several application fields like daily pluviometry data modelling, or motion analysis from image sequences, observations contain two components of different nature. A first part is made with discrete values accounting for some symbolic information and a second part records a continuous (real-valued) measurement. We call such type of observations “mixed-state observations".
This paper introduces spatial models suited for the analysis of these kinds of data. We consider multi-parameter auto-models whose local conditional distributions belong to a mixed state exponential family. Specific examples with exponential distributions are detailed, and we present some experimental results for modelling motion measurements from video sequences.
Electron. J. Statist., Volume 2 (2008), 213-233.
First available in Project Euclid: 27 March 2008
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Hardouin, Cécile; Yao, Jian-Feng. Spatial modelling for mixed-state observations. Electron. J. Statist. 2 (2008), 213--233. doi:10.1214/08-EJS173. https://projecteuclid.org/euclid.ejs/1206641967