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Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics (книга)

Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics
Автор: A. D. Zapranis
Apostolos-Paul Refenes
Оригинал издан: ????

«Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics»книга ???? года.

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«Neural networks have had considerable success in a variety of disciplines including engineering, control, and financial modelling. However a major weakness is the lack of established procedures for testing mis-specified models and the statistical…»

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