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 significance of the various parameters which have been estimated. This is particularly important in the majority of financial applications where the data generating processes are dominantly stochastic and only partially deterministic. Based on the latest, most significant ...
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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 significance of the various parameters which have been estimated. This is particularly important in the majority of financial applications where the data generating processes are dominantly stochastic and only partially deterministic. Based on the latest, most significant developments in estimation theory, model selection and the theory of mis-specified models, this volume develops neural networks into an advanced financial econometrics tool for non-parametric modelling. It provides the theoretical framework required, and displays the efficient use of neural networks for modelling complex financial phenomena. Unlike most other books in this area, this one treats neural networks as statistical devices for non-linear, non-parametric regression analysis.
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Add this copy of Principles of Neural Model Identification, Selection to cart. $16.75, very good condition, Sold by ivorytowerbooks rated 5.0 out of 5 stars, ships from Patterson, NY, UNITED STATES, published 1999 by Springer.
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Very good. No dust jacket as issued. Trade paperback (US). Glued binding. 190 p. Contains: Illustrations. Perspectives in Neural Computing. Audience: General/trade.
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*Price HAS BEEN REDUCED by 10% until Monday, Feb. 24 (weekend sale item)* 190 pp., paperback, previous owner's name neatly inked to the title page, else fine. -If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Add this copy of Principles of Neural Model Identification, Selection to cart. $71.33, new condition, Sold by discount_scientific_books rated 3.0 out of 5 stars, ships from Sterling Heights, MI, UNITED STATES, published 1999 by Springer.
