Principles of Neural Model Identification, Selection and Adequacy Free

Author: Achilleas Zapranis
Edition: Softcover reprint of the original 1st ed. 1999
Binding: Kindle Edition
ISBN: B001BFZ378

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

Neural networks have had considerable success in a variety of disciplines including engineering, control, and financial modelling. Get Principles of Neural Model Identification, Selection and Adequacy computer books for free.
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 Check Principles of Neural Model Identification, Selection and Adequacy our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.