↓ Skip to main content
Altmetric
What is this page?
Embed badge
Share
Share on Twitter
Share on Facebook
Share by email
Tools for statistical inference : observed data and data augmentation methods
Overview of attention for book
Table of Contents
Altmetric Badge
Book Overview
Altmetric Badge
Chapter 1
Introduction to Problems & Techniques
Altmetric Badge
Chapter 2
Observed Data Techniques-Normal Approximation
Altmetric Badge
Chapter 3
Observed Data Techniques - Approximations Based on Numerical Integration, Laplace Expansions, Monte Carlo and Importance Sampling
Altmetric Badge
Chapter 4
The EM Algorithm
Altmetric Badge
Chapter 5
The Data Augmentation Algorithm
Altmetric Badge
Chapter 6
The Gibbs Sampler
Overall attention for this book and its chapters
Altmetric Badge
Mentioned by
twitter
1
X user
syllabi
1
institution with syllabi
Citations
dimensions_citation
153
Dimensions
Book overview
1. Introduction to Problems & Techniques
2. Observed Data Techniques-Normal Approximation
3. Observed Data Techniques - Approximations Based on Numerical Integration, Laplace Expansions, Monte Carlo and Importance Sampling
4. The EM Algorithm
5. The Data Augmentation Algorithm
6. The Gibbs Sampler
Summary
X
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Harvard University
3
Unknown