Algorithms and Programs of Dynamic Mixture Estimation Unified Approach to Different Types of Components /
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...
| Main Authors: | Nagy, Ivan (Author), Suzdaleva, Evgenia (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
| Series: | SpringerBriefs in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Explorations in Monte Carlo Methods
by: Shonkwiler, Ronald W., et al.
Published: (2009) -
Multivariate Nonparametric Methods with R An approach based on spatial signs and ranks /
by: Oja, Hannu
Published: (2010) -
An Introduction to Copulas
by: Nelsen, Roger B.
Published: (2006) -
Finite Mixture and Markov Switching Models
by: Frühwirth-Schnatter, Sylvia
Published: (2006) -
Stochastic Petri Nets Modelling, Stability, Simulation /
by: Haas, Peter J.
Published: (2002)