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Handbook of Mixture Analysis by Gilles Celeux (English) Hardcover Book
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- Buy It NowHandbook of Mixture Analysis by Gilles Celeux (English) Hardcover Book
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eBay item number:364795246738
Item specifics
- Condition
- ISBN-13
- 9781498763813
- Book Title
- Handbook of Mixture Analysis
- ISBN
- 9781498763813
- Publication Name
- Handbook of Mixture Analysis
- Item Length
- 10.4in
- Publisher
- CRC Press LLC
- Series
- Chapman and Hall/Crc Handbooks of Modern Statistical Methods Ser.
- Publication Year
- 2019
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.5in
- Item Width
- 7.2in
- Item Weight
- 38.5 Oz
- Number of Pages
- 498 Pages
About this product
Product Information
Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1498763812
ISBN-13
9781498763813
eBay Product ID (ePID)
28038406733
Product Key Features
Publication Name
Handbook of Mixture Analysis
Format
Hardcover
Language
English
Series
Chapman and Hall/Crc Handbooks of Modern Statistical Methods Ser.
Publication Year
2019
Type
Textbook
Number of Pages
498 Pages
Dimensions
Item Length
10.4in
Item Height
1.5in
Item Width
7.2in
Item Weight
38.5 Oz
Additional Product Features
Lc Classification Number
Qa273.6.H3465 2019
Reviews
"This is another handbook in the remarkable series by CRC Press, which now consists of 21 volumes. The book has 19 chapters, split in to three parts: Foundations and Methods, Mixture Modelling and Extensions, and Selected Applications. Many first-class statisticians have contributed to the book. The editors have taken their coordinating task seriously, even organizing a workshop in Vienna. The balance between the chapters is quite good and the notation is streamlined... To summarize, I can recommend this handbook... The technical quality of typesetting and printing is high." - Paul Eilers , Erasmus University Medical Centre, Netherlands, Appeared in ISCB News, January 2020
Table of Content
Part I: Foundations and Methods Introduction to Finite Mixtures - Peter J. Green EM Methods for Finite Mixtures - Gilles Celeux An Expansive View of EM Algorithms - David R. Hunter, Prabhani Kuruppumullage Don, and Bruce G. Lindsay Bayesian Mixture Models: Theory and Methods - Judith Rousseau, Clara Grazian, and Jeong Eun Lee Computational Solutions for Bayesian Inference in Mixture Models - Gilles Celeux, Kaniav Kamary, Gertraud Malsiner Walli, Jean-Michel Marin, and Christian P. Robert Nonparametric Bayesian Mixture Models - Peter Müller Model Selection for Mixture Models - Perspectives and Strategies - Gilles Celeux, Sylvia Frühwirth-Schnatter and Christian P. Robert Part II: Mixture Modelling and Extensions Model-based Clustering - Bettina Grün Mixture Modelling of Discrete Data - Dimitris Karlis Continuous Mixtures with Skewness and Heavy Tails - David Rossell and Mark F.J. Steel Mixture Modelling of High-Dimensional Data - Damien McParland and Thomas Brendan Murphy Mixtures of Experts Models - Isobel Claire Gormley and Sylvia Frühwirth-Schnatter Hidden Markov Models in Time Series, with Applications in Economics - Sylvia Kaufmann Mixtures of Nonparametric Components and Hidden Markov Models - Elisabeth Gassiat Part III: Selected Applications Applications in Industry - Kerrie Mengersen, Earl Duncan, Julyan Arbel, Clair Alston-Knox, Nicole White Mixture Models for Image Analysis - Florence Forbes Applications in Finance - John M. Maheu and Azam Shamsi Zamenjani Applications in Genomics - Stéphane Robin and Christophe Ambroise Applications in Astronomy - Michael A. Kuhn and Eric D. Feigelson
Copyright Date
2019
Topic
Machine Theory, Probability & Statistics / General
Lccn
2018-040389
Dewey Decimal
519.2/4
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics
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This is not a coloring book!!!!! It’s just a book of black and white photos and even if colored over would look horrible! This book is a scam and I have received 2 items out of 3 I ordered and the third hasn’t even been shipped. Tried to message seller but only option given is to send the item number but no way to give reason for dissatisfaction with item! I would advise not ordering anything from this seller…
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