Télécharger le livre :  Universal Time-Series Forecasting with Mixture Predictors

The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence. All the results presented are theoretical, but they concern the foundations of some...
Editeur : Springer
Parution : 2020-09-26
Collection : SpringerBriefs in Computer Science
Format(s) : PDF, ePub
52,74

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Télécharger le livre :  Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus  a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions,...
Editeur : Springer
Parution : 2019-03-07
Collection : SpringerBriefs in Computer Science
Format(s) : PDF, ePub
52,74

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