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Principles of Neural Model Identification, Selection and Adequacy: With Applications to Financial Econometrics (Perspectives in Neural Computing) Pdf

Download Principles of Neural Model Identification, Selection and Adequacy: With Applications to Financial Econometrics (Perspectives in Neural Computing) Pdf

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Book Description:

Neural networks have had considerable success in a spread of disciplines along with engineering, control, and financial modelling. However a critical weak spot is the scarcity of established procedures for testing mis-specified fashions and the statistical significance of the numerous parameters which have been estimated. That’s notably important in the majority of financial functions the place the data producing processes are dominantly stochastic and solely partially deterministic. Based mostly totally on the most recent, most significant developments in estimation precept, model selection and the thought of mis-specified fashions, this amount develops neural networks into a sophisticated financial econometrics software for non-parametric modelling. It provides the theoretical framework required, and exhibits the surroundings pleasant use of neural networks for modelling difficult financial phenomena. In distinction to most totally different books in this area, this one treats neural networks as statistical devices for non-linear, non-parametric regression analysis.




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