A simple randomized algorithm for consistent sequential prediction of ergodic time series

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Título:	A simple randomized algorithm for consistent sequential prediction of ergodic time series
Autor/a:	Györfi, László; Lugosi, Gábor; Morvai, Gusztáv
Otros autores:	Universitat Pompeu Fabra. Departament d'Economia i Empresa
Abstract:	We present a simple randomized procedure for the prediction of a binary sequence. The algorithm uses ideas from recent developments of the theory of the prediction of individual sequences. We show that if thesequence is a realization of a stationary and ergodic random process then the average number of mistakes converges, almost surely, to that of the optimum, given by the Bayes predictor.
Materia(s):	-prediction -ergodic processes -pattern classification -Statistics, Econometrics and Quantitative Methods
Derechos:	L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Documento de trabajo
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