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Numerical Bayesian Methods Applied to Signal Processing
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Probabilistic Inference in Signal Processing
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Chapter 3
Numerical Bayesian Inference
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Chapter 4
Markov Chain Monte Carlo Methods
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Chapter 5
Retrospective Changepoint Detection
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Chapter 6
Restoration of Missing Samples in Digital Audio Signals
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Chapter 7
Integration in Bayesian Data Analysis
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Chapter 8
Conclusion
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
306
Dimensions
Readers on
mendeley
59
Mendeley
Book overview
1. Introduction
2. Probabilistic Inference in Signal Processing
3. Numerical Bayesian Inference
4. Markov Chain Monte Carlo Methods
5. Retrospective Changepoint Detection
6. Restoration of Missing Samples in Digital Audio Signals
7. Integration in Bayesian Data Analysis
8. Conclusion
Summary
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
The University of Texas at Austin
2
Unknown