Description: Bayesian Hierarchical Models by Peter D. Congdon Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. Publisher Description An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods.The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples.The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities.Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the books website Author Biography Peter Congdon is Research Professor in Quantitative Geography and Health Statistics at Queen Mary, University of London. Details ISBN 1032177152 ISBN-13 9781032177151 Title Bayesian Hierarchical Models Author Peter D. Congdon Format Paperback Year 2021 Pages 592 Edition 2nd Publisher Taylor & Francis Ltd GE_Item_ID:133912453; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 77 USD
Location: Fairfield, Ohio
End Time: 2025-02-09T09:01:27.000Z
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ISBN-13: 9781032177151
Book Title: Bayesian Hierarchical Models
Number of Pages: 592 Pages
Language: English
Publication Name: Bayesian Hierarchical Models
Publisher: CRC Press LLC
Subject: Mathematical & Statistical Software, Probability & Statistics / General, General
Publication Year: 2021
Item Weight: 39 Oz
Type: Textbook
Author: Peter D. Congdon
Item Length: 10 in
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Trade Paperback
