Description: Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components, Paperback by Nagy, Ivan; Suzdaleva, Evgenia, ISBN 3319646702, ISBN-13 9783319646701, Like New Used, Free shipping in the US This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics. It offers the recursive estimation of dynamic mixtures, which are free of iterative processes and close to analytical solutions as much as possible. In addition, these methods can be used online and simultaneously perform learning, which improves their efficiency during estimation. Th includes detailed program codes for solving the presented theoretical tasks. Codes are implemented in the open source platform for engineering computations. The program codes given serve to illustrate the theory and demonstrate the work of the included algorithms.
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Book Title: Algorithms and Programs of Dynamic Mixture Estimation : Unified A
Number of Pages: Xi, 113 Pages
Language: English
Publication Name: Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / Stochastic Processes, Computer Simulation, Probability & Statistics / General, Probability & Statistics / Regression Analysis, System Theory
Publication Year: 2017
Type: Textbook
Item Weight: 72.6 Oz
Subject Area: Mathematics, Computers, Science
Author: Evgenia Suzdaleva, Ivan Nagy
Item Length: 9.3 in
Series: Springerbriefs in Statistics Ser.
Item Width: 6.1 in
Format: Trade Paperback
