T. La-troisième-variable-est and . Cor, De variance faible, elle a une sensibilité néanmoins importante

. La-pièce-la-celle-du-couloir,-elle-est-donc-la-pièce-permettant-de-faire-diminuer-la-température, Elle est la plus susceptible d'engendrer des variations de la variable d'intérêt. T below n'est pas du tout influente. Cette pièce correspond à la pièce du dessous, isolée par une dalle, il semble cohérent que cette pièce n

?. Step, On applique le filtre de Kalman afin d'obtenir ? t à partir des y t et des matrices précédemment définies grâce aux paramètre ? (i)

?. Step, On estime le maximum de vraisemblance des paramètres en maximisant la vraisemblance trouvée à l'étape E. ? (i+1) = argmax ? Q(?|? (i) )

. La-force-de-c, Après chaque itération la vraisemblance augmente. C'est-à-dire : l(? (i)+1 ) ? l(? (i) )

L. Dempster and R. , [31] montrent que cet algorithme converge vers un maximum local. On comprend alors aisément que le maximum trouvé dépend de l'initialisation de l'algorithme, 1977.

. On-peut-aussi-remarquer and . Qu, il converge assez rapidement dans les premières itérations. Lorsqu'il s'approche du maximum celui ci devient beaucoup plus lent. C'est pour cela qu'à partir d'un certain rang on utilise une méthode de maximisation classique afin de trouver un meilleur maximum

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