Multiscale Modeling: A Bayesian Perspective - Springer Series in Statistics (Hardback)
  • Multiscale Modeling: A Bayesian Perspective - Springer Series in Statistics (Hardback)
zoom

Multiscale Modeling: A Bayesian Perspective - Springer Series in Statistics (Hardback)

(author), (author)
£119.99
Hardback 245 Pages / Published: 27/07/2007
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket

This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. These methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.

Publisher: Springer-Verlag New York Inc.
ISBN: 9780387708973
Number of pages: 245
Weight: 555 g
Dimensions: 235 x 155 x 13 mm
Edition: 2007 ed.


MEDIA REVIEWS

From the reviews:

"Readership: Students and practitioners of Multiscale Modeling and Analysis by Bayesian methods.... This is a wonderfully written review of what is known about multiscale modelling and associated Bayesian inference.... The models are very clearly described and discussed with a lot of insight. The computational details are also discussed well. The book is very well written... ." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)

"In general, the book discusses various statistical tools, which can be used to link the information at different scales and assess the associated uncertainties. Approaches to speed up the computations are also presented. The basic computer codes for many of the methods discussed in the book are made available through the website of one of the authors. This is a very good introductory book for nonexperts as well as for experts working in this field." (Yalchin Efendiev, Journal of the American Statistical Association, March 2009, Vol. 104, No. 485)

"A multitude of natural processes occur in multiple scales giving rise to complicated phenomenon often modeled by processes, algorithms, and data structured by scale. However, a `real' book that summarizes these for a wider audience, particularly geostatisticians, has been lacking. I personally thank Professors Ferreira and Lee for filling this void with this commendable book, a nicely organized exploration of multiscale methods developed using a Bayesian paradigm. ... Multiscale Modeling: A Bayesian Perspective is not really a textbook... . It is more like an advanced-level reference book for graduate students and geostatistical researchers interested in learning about the advances in this field. For any PhD-level graduate statistics course in advanced multiscale models, this book...is automatically the book of choice. The detailed theoretical exposition of the methods, motivating examples for illustration, easy-to-understand R programs, and other features will enable any instructor to introduce the topic in the classroom setting. Several Chapters can provide sufficient insight to choose a PhD dissertation topic. The extensive bibliography at the end of the book will complement the learning curve. The book is a seminal work in this direction, the first of its kind, and I highly recommend it." (Technometrics, May 2010, Vol. 52, No. 2)

You may also be interested in...

Statistics: A Very Short Introduction
Added to basket
Analysis of Longitudinal Data
Added to basket
Naked Statistics
Added to basket
£12.99
Paperback
Statistics Done Wrong
Added to basket
Probability with Martingales
Added to basket
Discovering Statistics Using R
Added to basket
£60.00
Mixed media product
How to Use Statistics
Added to basket
Bayesian Statistics
Added to basket
£39.95
Paperback
Data Management Using Stata
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.