Algorithms and programs of dynamic mixture estimation. Unified approach to different types of components

DOI10.1007/978-3-319-64671-8zbMath1383.62005OpenAlexW2746691464MaRDI QIDQ2012677

Evgenia Suzdaleva, Ivan Nagy

Publication date: 2 August 2017

Published in: SpringerBriefs in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-64671-8

zbMATH Keywords

dynamic mixture estimationdynamic mixture models

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Bayesian inference (62F15) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

Related Items (3)

Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data ⋮ Comparing clusterings using combination of the kappa statistic and entropy-based measure ⋮ Prediction of overdispersed count data using real-time cluster-based discretization of explanatory variables

Uses Software

• Scilab
• WEKA

This page was built for publication: Algorithms and programs of dynamic mixture estimation. Unified approach to different types of components