Neural networks for conditional probability estimation : forecasting beyond point predictions /

This volume presents a neural network architecture for the prediction of conditional probability densities - which is vital when carrying out universal approximation on variables which are either strongly skewed or multimodal. Two alternative approaches are discussed: the GM network, in which all pa...

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Bibliographic Details

Main Author:	Husmeier, Dirk, 1964-
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	London ; New York : Springer, [1999]
Series:	Perspectives in neural computing.
Subjects:	Neural networks (Computer science) Distribution (Probability theory) > Data processing. Neurale netwerken. Waarschijnlijkheidsverdelingen. Schattingstheorie. Prognoses. Bedingte Wahrscheinlichkeitsverteilung. Neuronales Netz. Prädiktionsanalyse. Schätzung. Electronic books.
Online Access:	Connect to the full text of this electronic book