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Details for article 2 of 7 found articles
| Title: |
Bayesian regression mixtures of experts for geo-referenced data |
| Author: |
Gerhard Paaß Jörg Kindermann |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 7 (2004) nr. 6 pages 567-582 |
| Year: |
2004-02-02 |
| Contents: |
Politicians, planners and social scientists have an increasing need for tools clarifying the spatial distribution of relevant features. Special interest is in predicting changes in a what-if analysis: what would happen if we change some features in a specific way. To predict future developments requires a statistical model with inherent modelling uncertainty. In this paper we investigate Bayesian models which on the one hand are able to represent complex relations between geo-referenced variables and on the other hand estimate the inherent uncertainty in predictions. For solution the models require Markov-Chain Monte Carlo techniques. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 7 found articles
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