Finite Mixture and Markov Switching Models
Language: English
Published by Springer Nature B.V., 2006
- Hardcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
AbeBooks seller since September 30, 2021
Condition: Used - Fine
£ 87.33
Quantity: 1 available
Add to basketItem description from seller
Zustand: Sehr gut | Seiten: 516 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller Inventory # 3071995/202
- Title
- Finite Mixture and Markov Switching Models
- Author
- Frühwirth-Schnatter, Sylvia
- Publisher
- Springer Nature B.V.
- Publication year
- 2006
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387329099
- ISBN 13
- 9780387329093
- Series
- Book 82 of 160: Springer Series in Statistics
- Seller catalogs
- Bücher
The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book reviews these techniques and covers advances in the field. This is the first book to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. Focusing mainly on Bayesian inference, the author reviews several frequentist techniques, especially selecting the number of components of a finite mixture model, and discusses some of their shortcomings compared to the Bayesian approach. The book is designed to show how finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, the book will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential applications goes beyond simple data analysis and extends to regression analysis and to non-linear time series analysis using Markov switching models.
For more than the hundred years since Karl Pearson showed in 1894 how to estimate the five parameters of a mixture of two normal distributions using the method of moments, statistical inference for finite mixture models has been a challenge to everybody who deals with them. In the past ten years, very powerful computational tools emerged for dealing with these models which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book reviews these techniques and covers the most recent advances in the field, among them bridge sampling techniques and reversible jump Markov chain Monte Carlo methods.
It is the first time that the Bayesian perspective of finite mixture modelling is systematically presented in book form. It is argued that the Bayesian approach provides much insight in this context and is easily implemented in practice. Although the main focus is on Bayesian inference, the author reviews several frequentist techniques, especially selecting the number of components of a finite mixture model, and discusses some of their shortcomings compared to the Bayesian approach.
The aim of this book is to impart the finite mixture and Markov switching approach to statistical modelling to a wide-ranging community. This includes not only statisticians, but also biologists, economists, engineers, financial agents, market researcher, medical researchers or any other frequent user of statistical models. This book should help newcomers to the field to understand how finite mixture andMarkov switching models are formulated, what structures they imply on the data, what they could be used for, and how they are estimated. Researchers familiar with the subject also will profit from reading this book. The presentation is rather informal without abandoning mathematical correctness. Previous notions of Bayesian inference and Monte Carlo simulation are useful but not needed.
Sylvia Frühwirth-Schnatter is Professor of Applied Statistics and Econometrics at the Department of Applied Statistics of the Johannes Kepler University in Linz, Austria. She received her Ph.D. in mathematics from the University of Technology in Vienna in 1988. She has published in many leading journals in applied statistics and econometrics on topics such as Bayesian inference, finite mixture models, Markov switching models, state space models, and their application in marketing, economics and finance.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 60 to 60 business days | 60 to 60 business days |
|---|---|---|
| First item | £ 90.30 | £ 111.80 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Store description
Seit über 30 Jahren handeln wir mit Büchern. Begonnen hat alles als kleiner Fachbuchhandel in Berlin. Heute sind wir spezialisiert auf den An- und Verkauf gebrauchter Bücher. Noch immer liegt unser Fokus dabei auf den Kategorien: Fachbuch und englischsprachige Literatur. Hinzu kommen Bücher aus allen anderen Genres, wie Belletristik, Biografien oder Kinderbücher. Unser oberstes Ziel ist dabei die Weiterverwendung von Dingen und die Schonung von Ressourcen. Neben dem Ankauf von privaten Büchern oder Haushaltsauflösungen kaufen wir bundesweit komplette Bibliotheken und Buchbestände von Institutionen auf, um diese nachhaltig ein weiteres Mal auf den Markt zu bringen. Parallel dazu bietet Buchpark die Möglichkeit, große Mengen einzulagern. Ganze Bibliotheken und umfangreiche Buchbestände werden von uns professionell auf Qualitätsmerkmale hin untersucht und sorgfältig für den Onlinehandel aufbereitet. Wir schenken Büchern ein zweites Leben.…
Seller's business information
Buchpark GmbH
Krügerweg 1
Trebbin, Germany 14959
Terms of sale
Buchpark
Imprint
Legal provider identification:
Buchpark GmbH
represented by the managing directors Dr. Frank Jacobi, Michael Antonius Horst Jacobi
Krügerweg 1
14959 Trebbin
Germany
Phone:+49 03381 79 76 585
E-Mail: abebooks@buchpark.de
VAT ID No.: DE243674915
registered in the commercial register of the district court Potsdam
Commercial register number HRB 33655 P
Alternative dispute resolution:
The European Commission provides a platform for out-of-court online dispute resolution (ODR platform), available at
at https://ec.europa.eu/odr.
We are a member of the "FairCommerce" initiative since 04.04.2019.
You can find more information about this at www.haendlerbund.de/faircommerce.
Cancellation policy/ sample cancellation form/
General Terms and Conditions and Customer Information/ Privacy Policy
Right of withdrawal for consumers
(A consumer is any natural person who enters into a legal transaction for purposes that are predominantly neither commercial nor self-employed).
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Buchpark, Trebbin, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.