MIXTURE MODELS
YAO, W.
Sold by Llibreria Hispano Americana, Barcelona, B, Spain
AbeBooks Seller since 12 January 2024
Used - Hardcover
Condition: Used - As new
Ships from Spain to U.S.A.
Quantity: 1 available
Add to basketSold by Llibreria Hispano Americana, Barcelona, B, Spain
AbeBooks Seller since 12 January 2024
Condition: Used - As new
Quantity: 1 available
Add to basketMixture 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
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.
Dr. Weixin Yao is professor and vice chair of the Department of Statistics at the University of California, Riverside. He received his BS in statistics from the University of Science and Technology of China in 2002 and his PhD in statistics from Pennsylvania State University in 2007. His major research includes mixture models, nonparametric and semiparametric modeling, robust data analysis, and high-dimensional modeling. He has served as an associate editor for Biometrics, Journal of Computational and Graphical Statistics, Journal of Multivariate Analysis, and The American Statistician. In addition, Dr. Yao was also the guest editor of Advances in Data Analysis and Classification for the special issue on “Models and Learning for Clustering and Classification," 2020-2021.
Dr. Sijia Xiang is a professor in statistics. She obtained her doctoral and master's degrees in statistics from Kansas State University in 2014 and 2012, respectively. Her research interests include mixture models, nonparametric/semiparametric estimation, robust estimation, and dimension reduction. Dr. Xiang has led several research projects, including, "Statistical inference for clustering analysis based on high-dimensional mixture models," funded by the National Social Science Fund of China, "Semiparametric mixture model and variable selection research," funded by the National Natural Science Foundation of China, and "Research on the new estimation method and application of mixture model," funded by the Zhejiang Statistical Research Project. Dr. Xiang has also been selected as a Young Discipline Leader and a Young Talented Person in the Zhejiang Provincial University Leadership Program.
Dr. Xiang has published extensively in international journals, including Annals of the Institute of Statistical Mathematics, Statistical Science, Journal of Statistical Planning and Inference, and more. Her research mainly focuses on semiparametric mixture models, which include semiparametric mixtures of regressions with single-index for model-based clustering, semiparametric mixtures of nonparametric regressions, and continuous scale mixture approaches. Dr. Xiang has also contributed to the development of new estimation methods for mixtures of linear regression models and mixtures of factor analyzers. Additionally, she has proposed a new bandwidth selection method for nonparametric regressions and robust maximum Lq-likelihood estimation for joint mean-covariance models for longitudinal data.
"About this title" may belong to another edition of this title.
If you are a consumer you can cancel 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 CANCELLATION
Statutory Right to cancel
You have the right to cancel this contract within 14 days without giving any reason.
The cancellation 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 the last good or the last lot or piece.
To exercise the right to cancel, you must inform us, Libreria Hispano-Americana, C/ Provença, 140, 08029, Badalona, Barcelona, Spain, +34 606873912, of your decision to cancel this contract by a clear statement (e.g. a letter sent by post, fax or e-mail). You may use the attached model cancellation form, but it is not obligatory. You can also electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". If you use this option, we will communicate to you an acknowledgement of receipt of such a cancellation on a durable medium (e.g. by e-mail) without delay.
To meet the cancellation deadline, it is sufficient for you to send your communication concerning your exercise of the right to cancel before the cancellation period has expired.
Effects of cancellation
If you cancel 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 cancel with 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 us or Libreria Hispano-Americana, C/ Provença, 140, 08029, Badalona, Barcelona, Spain, +34 606873912, without undue delay and in any event not later than 14 days from the day on which you communicate your cancellation 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 cancellation
The right of cancellation does not apply to:
Model withdrawal form
(complete and return this form only if you wish to withdraw from the contract)
To: (Libreria Hispano-Americana, C/ Provença, 140, 08029, Badalona, Barcelona, Spain, +34 606873912)
I/We (*) hereby give notice that I/We (*) withdraw from my/our (*) contract of sale of the following goods (*)/for the provision of the following goods (*)/for the provision of the following service (*),
Ordered on (*)/received on (*)
Name of consumer(s)
Address of consumer(s)
Signature of consumer(s) (only if this form is notified on paper)
Date
* Delete as appropriate.
Los gastos envío hasta tienen un precio de:
Los envíos contiene nº de seguimiento, serán entregados bajo firma. Plazo 48/72H.
Para envíos al extranjero debe ponerse en contacto con la librería especificando: 1- El título que desea adquirir. 2 - Código postal y país de entrega. Con esta información le informaremos del coste que tiene el envío.
| Order quantity | 25 to 45 business days | 13 to 45 business days |
|---|---|---|
| First item | £ 60.42 | £ 60.42 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.