Stock photo: cover may vary
Spatial and Spatio-Temporal Bayesian Models with R - Inla Hardback - 2015
by Marta Blangiardo,Michela Cameletti
- Used
- Hardback
A$79.41
A$9.37
Delivery within USA
Standard delivery: 4 to 7 days
More delivery options
Standard delivery: 4 to 7 days
Ships from Friends Book Stores (California, United States)
Details
- Title Spatial and Spatio-Temporal Bayesian Models with R - Inla
- Author Marta Blangiardo,Michela Cameletti
- Binding Hardback
- Edition Hardback
- Condition New
- Pages 320
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date June 2015
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 358901
- ISBN 9781118326558 / 1118326555
- Weight 1.15 lbs (0.52 kg)
- Dimensions 9 x 6 x 0.8 in (22.86 x 15.24 x 2.03 cm)
-
Themes
- Aspects (Academic): Reference
- Category Mathematics
- Library of Congress subjects Bayesian statistical decision theory, Spatial analysis (Statistics)
- Library of Congress Catalogue Number 2015000696
- Dewey Decimal Code 519.542
- Quantity available 1
- Bookseller catalogues Warehouse - Textbooks
About Friends Book Stores California, United States
Biblio member since 2023
The Friends Book Store is a nonprofit organization located in Pleasant Hill, California. We sell donated books to raise funds to support our local library programs. 100% of your purchase will go to the library since we are an all volunteer organization. Thanks for your support!
Once we receive your order we will ship within three business days.
For standard shipping we use USPS Media Mail, which typically takes 4 to 7 business days. For expedited shipping we offer USPS Priority Mail, which typically takes 1-3 days. Shipping can take longer to Hawaii or Alaska, or during holidays. We ship from California.
The shipping costs are based on the number of items in your order and will be included in your payment. We reserve the right to change the shipping fees if we find the actual cost very different from what you were charged during checkout. We will contact you if that is the case.
Returns and Refunds
If a book or item is damaged in shipment, or if the book or item shipped is other than what was described, the customer must contact us within ten (10) days of receipt to claim a refund. For books and other items damaged in shipment, shipped in error or other than what was described, we will refund the customer all charges. However, we are not responsible for loss due to "porch pirates" or similar mail theft.If an online order is cancelled by us as unavailable to ship, the customer will be given a full refund of all charges.
If the customer decides to cancel an online order before shipment has occurred, the customer will be given a refund of all charges, less a 20% restocking fee based on the price of the book or item.
If the customer decides to cancel an online order after shipment has occurred, the customer must contact us within ten (10) days of receipt to request a refund, and ship the book or item back to us at the customer's expense. Once we receive the book or item and confirm it was received in the same condition as it was shipped, we will issue a refund less a 20% restocking fee based on the price of the book or item.
Reader reviews for Spatial and Spatio-Temporal Bayesian Models with R - Inla
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
The reference book for spatio-temporal modeling with INLA
The Bayesian approach is particularly effective at modeling large datasets including spatial and temporal information due to its flexibility and ease with which it can formally include correlation and hierarchical structures in the data. However, classical simulation methods such as Markov Chain Monte Carlo can become computationally unfeasible; this book presents the Integrated Nested Laplace Approximations (INLA) approach as a computationally effective and extremely powerful alternative.
Spatial and Spatio-temporal Bayesian Models with R-INLA introduces the basic paradigms of the Bayesian approach and describes the associated computational issues. Detailing the theory behind the INLA approach and the R-INLA package, it focuses on spatial and spatio-temporal modeling for area and point-referenced data.
The combination of detailed theory and practical data analysis is beneficial for readers at any level. The coding of all the examples in R-INLA and the availability of all the datasets used throughout the book on the INLA website (www.r-inla.org) make an appealing feature for applied researchers wanting to approach or increase their knowledge and practice of the INLA method.
