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Approximation of multivariate distribution functions

✍ Scribed by Margus Pihlak

Book ID
111492987
Publisher
SP Versita
Year
2008
Tongue
English
Weight
207 KB
Volume
58
Category
Article
ISSN
0139-9918

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πŸ“œ SIMILAR VOLUMES

Approximation of multivariate distributi
Approximation of multivariate distribution functions
✍ Margus Pihlak πŸ“‚ Article πŸ“… 2008 πŸ› SP Versita 🌐 English βš– 207 KB

In the paper the unknown distribution function is approximated with a known distribution function by means of Taylor expansion. For this approximation a new matrix operation -matrix integral -is introduced and studied in [PIHLAK, M.: Matrix integral, Linear Algebra Appl. 388 (2004), 315-325]. The ap

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Distribution functions of multivariate copulas
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For continuous random vectors X = (X 1 ; X 2 ; : : : ; X n ) and multivariate distribution functions H 1 and H 2 with common univariate marginals, we study the distribution function of the random variable H 1 (X) given that the joint distribution function of X is H 2 . We show that the distribution

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This paper introduces a novel neural network architecture-cubic approximation neural network (CANN), capable of local approximation of multivariate functions. It is particularly simple in concept and in structure. Its simplicity enables a quantitative evaluation of its approximation capabilities, na