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PM10 forecasting using mixture linear regression models

Michel Misiti 1 Yves Misiti 1 Jean-Michel Poggi 1, 2 Bruno Portier 3 
1 LM-Orsay - Laboratoire de Mathématiques d'Orsay
2 SELECT - Model selection in statistical learning
Inria Saclay - Ile de France, LMO - Laboratoire de Mathématiques d'Orsay
3 LMI - Laboratoire de Mathématiques de l'INSA de Rouen Normandie
Résumé : no abstract
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Conference papers
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https://hal.inria.fr/hal-00944066
Contributor : Erwan Le Pennec Connect in order to contact the contributor
Submitted on : Monday, February 10, 2014 - 10:06:29 AM
Last modification on : Sunday, June 26, 2022 - 12:00:47 PM

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  • HAL Id : hal-00944066, version 1

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CNRS | INRIA | INSA-ROUEN | INSMI | LM-ORSAY | COMUE-NORMANDIE | INRIA2 | LMI-ROUEN | INSA-GROUPE | GS-MATHEMATIQUES

Citation

Michel Misiti, Yves Misiti, Jean-Michel Poggi, Bruno Portier. PM10 forecasting using mixture linear regression models. 46th scientific meeting of the Italian Statistical Society, SIS 2012, 2012, Rome. ⟨hal-00944066⟩

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