Price loading...

Mixture Models: Parametric, Semiparametric, and New Directions (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Modelling

Price data last checked 91 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Mixture models are a powerful tool for analyzing complex and heterogeneous datasets across many scientific fields, from finance to genomics. Mixture Models: Parametric, Semiparametric, and New Directions provides an up-to-date introduction to these models, their recent developments, and their implementation using R. It fills a gap in the literature by covering not only the basics of finite mixture models, but also recent developments such as semiparametric extensions, robust modeling, label switching, and high-dimensional modeling. Features Comprehensive overview of the methods and applications of mixture models Key topics include hypothesis testing, model selection, estimation methods, and Bayesian approaches Recent developments, such as semiparametric extensions, robust modeling, label switching, and high-dimensional modeling Examples and case studies from such fields as astronomy, biology, genomics, economics, finance, medicine, engineering, and sociology Integrated R code for many of the models, with code and data available in the R Package MixSemiRob Mixture Models: Parametric, Semiparametric, and New Directions is a valuable resource for researchers and postgraduate students from statistics, biostatistics, and other fields. It could be used as a textbook for a course on model-based clustering methods, and as a supplementary text for courses on data mining, semiparametric modeling, and high-dimensional data analysis.

Product Specifications

Format: Hardcover
ASIN: 0367481820
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Modelling
Domain: Amazon UK
Release Date: 05 April 2022
Listed Since: 12 October 2023

Barcode

No barcode data available

Mixture Models: Parametric, Semiparametric, and New Directions (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Handbook of Mixture Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Handbook of Mixture Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

CRC Press Handbook of Mixed Membership Models and Applications

Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools: 66 (Chapman & Hall/CRC Biostatistics Series)

Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probab)

CRC Press Mixed Effects Models for Complex Data - Book

Learning Microeconometrics with R (Chapman & Hall/CRC The R Series)

Model-Based Clustering, Classification, and Density Estimation Using mclust in R (Chapman & Hall/CRC The R Series)

Mixed Models: Theory and Applications with R: 893 (Wiley Series in Probability and Statistics)

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package (Chapman & Hall/CRC Computational Biology Series)

Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package (Chapman & Hall/CRC Computational Biology Series)

ANOVA and Mixed Models: A Short Introduction Using R (Chapman & Hall/CRC The R Series)

Mixture Modelling for Medical and Health Sciences (Chapman & Hall/CRC Biostatistics Series)

Handbook of Cluster Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Robust Mixed Model Analysis

Mixture and Hidden Markov Models with R (Use R!)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press Computational Methods in Biomedical Research Book

CRC Press Structural Equation Modeling for Health and Medicine

CRC Press Analysis of Mixed Data: Methods & Applications

Applied Microbiome Statistics: Correlation, Association, Interaction and Composition (Chapman & Hall/CRC Biostatistics Series)

Handbook of Cluster Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Structural Equation Modeling for Health and Medicine (Chapman & Hall/CRC Biostatistics Series)