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 |
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Оригинал издан: | ???? |
«Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics» — книга ???? года.
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От издателя
«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…»