Algorithms and Programs of Dynamic Mixture Estimation. Unified Approach to Different Types of Components

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00477300" target="_blank" >RIV/67985556:_____/17:00477300 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-64671-8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-64671-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-64671-8" target="_blank" >10.1007/978-3-319-64671-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Algorithms and Programs of Dynamic Mixture Estimation. Unified Approach to Different Types of Components

Popis výsledku v původním jazyce

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. The book 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.

Název v anglickém jazyce

Algorithms and Programs of Dynamic Mixture Estimation. Unified Approach to Different Types of Components

Popis výsledku anglicky

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. The book 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.

Druh

B - Odborná kniha

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GA15-03564S" target="_blank" >GA15-03564S: Shlukování a klasifikace s využitím rekurzivního odhadování modelu směsi distribucí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-3-319-64670-1

Počet stran knihy

113

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS knihy

000446970800007