Free shipping on orders over $99
Bayesian Missing Data Problems

Bayesian Missing Data Problems

EM, Data Augmentation and Noniterative Computation

by Kai Wang NgGuo-Liang Tian and Ming T. Tan
Hardback
Publication Date: 26/08/2009

Share This Book:

16%
OFF
RRP  $242.00

RRP means 'Recommended Retail Price' and is the price our supplier recommends to retailers that the product be offered for sale. It does not necessarily mean the product has been offered or sold at the RRP by us or anyone else.

$203.35
or 4 easy payments of $50.84 with
afterpay
    Please Note: We will source your item through a special order. Generally sent within 120 days.
This item qualifies your order for FREE DELIVERY
Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-world problems, the authors focus on exact numerical solutions, a conditional sampling approach via data augmentation, and a noniterative sampling approach via EM-type algorithms. After introducing the missing data problems, Bayesian approach, and posterior computation, the book succinctly describes EM-type algorithms, Monte Carlo simulation, numerical techniques, and optimization methods. It then gives exact posterior solutions for problems, such as nonresponses in surveys and cross-over trials with missing values. It also provides noniterative posterior sampling solutions for problems, such as contingency tables with supplemental margins, aggregated responses in surveys, zero-inflated Poisson, capture-recapture models, mixed effects models, right-censored regression model, and constrained parameter models.
The text concludes with a discussion on compatibility, a fundamental issue in Bayesian inference. This book offers a unified treatment of an array of statistical problems that involve missing data and constrained parameters. It shows how Bayesian procedures can be useful in solving these problems.
ISBN:
9781420077490
9781420077490
Category:
Biology
Format:
Hardback
Publication Date:
26-08-2009
Language:
English
Publisher:
Taylor & Francis Ltd
Country of origin:
United Kingdom
Pages:
346
Dimensions (mm):
234x156x23mm
Weight:
0.8kg

Our Australian supplier has this title on order. You can place a backorder for this title now and we will ship it to you when it becomes available. 

While we are unable to provide a delivery estimate, most backorders will be delivered within 120 days. If we are informed by our supplier that the title is no longer available during this time, we will cancel and refund you for this item.  Likewise, if no delivery estimate has been provided within 120 days, we will contact our supplier for an update.  If there is still no delivery estimate we will then cancel the item and provided you with a refund.

If we are able to secure you a copy of the title, our supplier will despatch it to our Sydney warehouse.  Once received we make sure it is in perfect condition and then despatch it to you via the Australia Post eParcel service, which includes online tracking.  You will receive a shipping notice from us when this occurs.

Reviews

Be the first to review Bayesian Missing Data Problems.