| HAL : hal-00517673, version 1 |
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| Journal of Case Studies in Business, Industry and Government Statistics (CSBIGS) 4, 2 (2011) 83-92 |
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| Adaptive models in regression for modeling and understanding evolving populations |
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| Charles Bouveyron 1Patrice Gaubert 2 |
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| (2011) |
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| When regression analysis is carried out in a prediction purpose, an evolution in the modeled phenomenon between the training and the prediction stages obliges the practitioner to perform a new and complete analysis. Similarly, when regression aims to explain the modeled phenomenon, a new regression model must be estimated whenever the phenomenon or its study conditions change. This paper shows how a previous regression analysis can be used for the estimation of the regression model in a new situation avoiding a new and expensive collect of data. Two case studies are considered in the paper. On the one hand, a regression model of the house price versus house and household features is adapted from a city of the US South-East (Birmingham, AL) to a city of the US West coast (San Jose, CA). On the other hand, the link between CO$ emissions and gross national product in 1999 is analyzed based on a previous analysis dating from 1980. |
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| 1 : | Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM) |
| Université Paris I - Panthéon-Sorbonne | |
| 2 : | Equipe de Recherche sur l'Utilisation des Données Individuelles Temporelles en Economie (ERUDITE) |
| Université Paris-Est Créteil Val-de-Marne (UPEC) : EA437 – Université Paris-Est Marne-la-Vallée (UPEMLV) | |
| 3 : | Laboratoire de Mathématiques Paul Painlevé |
| CNRS : UMR8524 – Université Lille I - Sciences et technologies | |
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| Domaine | : | Mathématiques/Statistiques Statistiques/Théorie |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00517673, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00517673 | |
| oai:hal.archives-ouvertes.fr:hal-00517673 | |
| Contributeur : Charles Bouveyron | |
| Soumis le : Mercredi 15 Septembre 2010, 10:53:25 | |
| Dernière modification le : Mardi 10 Janvier 2012, 12:01:34 | |