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Dynamic linear models with R
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction: basic notions about Bayesian inference
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Chapter 2
Dynamic linear models
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Chapter 3
Model specification
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Chapter 4
Models with unknown parameters
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Chapter 5
Sequential Monte Carlo methods
Overall attention for this book and its chapters
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Mentioned by
twitter
1
X user
syllabi
1
institution with syllabi
Citations
dimensions_citation
81
Dimensions
Readers on
mendeley
369
Mendeley
Book overview
1. Introduction: basic notions about Bayesian inference
2. Dynamic linear models
3. Model specification
4. Models with unknown parameters
5. Sequential Monte Carlo methods
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
2
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Nottingham Trent University
2
Unknown