Bayesian Ideas and Data Analysis, Christensen, Ronald

Автор: Korb, Kevin B. Nicholson, Ann E.
Название: Bayesian artificial intelligence
ISBN: 1032477652 ISBN-13(EAN): 9781032477657
Издательство: Taylor&Francis
Рейтинг:
Цена: 7042.00 р.
Наличие на складе: Нет в наличии.

Описание: The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
Рейтинг:
Цена: 13858.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107663911 ISBN-13(EAN): 9781107663916
Издательство: Cambridge Academ
Рейтинг:
Цена: 7445.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
Рейтинг:
Цена: 19325.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
Рейтинг:
Цена: 12664.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Автор: Kokoszka
Название: Introduction To Functional Data Ana
ISBN: 1498746349 ISBN-13(EAN): 9781498746342
Издательство: Taylor&Francis
Рейтинг:
Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book provides an introduction to functional data analysis (FDA), useful to students and researchers. FDA is now generally viewed as a fundamental subfield of statistics. FDA methods have been applied to science, business and engineering.

Автор: Kedem Benjamin Et Al
Название: Statistical Data Fusion
ISBN: 9813200189 ISBN-13(EAN): 9789813200180
Издательство: World Scientific Publishing
Рейтинг:
Цена: 12830.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data ... Overall, I found that the book covers an important topic and the DRM is a promising tool in this area. Researchers on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American Statistical AssociationThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.

Автор: Muller, P., Quintana, F.A., Jara, A., Hanson, T.
Название: Bayesian Nonparametric Data Analysis
ISBN: 3319189670 ISBN-13(EAN): 9783319189673
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.

Автор: Blasco, Agustin
Название: Bayesian data analysis for animal scientists
ISBN: 3319542737 ISBN-13(EAN): 9783319542737
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters.

Автор: Matthias Kaeding
Название: Bayesian Analysis of Failure Time Data Using P-Splines
ISBN: 3658083921 ISBN-13(EAN): 9783658083922
Издательство: Springer
Рейтинг:
Цена: 9141.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions.

Автор: Peter M?ller; Fernando Andres Quintana; Alejandro
Название: Bayesian Nonparametric Data Analysis
ISBN: 3319368427 ISBN-13(EAN): 9783319368429
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.

Автор: M. Antonia Amaral Turkman, Carlos Daniel Paulino, Peter Muller
Название: Computational Bayesian Statistics: An Introduction
ISBN: 1108481035 ISBN-13(EAN): 9781108481038
Издательство: Cambridge Academ
Рейтинг:
Цена: 18058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user`s guide for researchers and graduate students from beyond statistics.