Bayesian Filter Design for Computational Medicine [E-Book] : A State-Space Estimation Framework / by Dilranjan S. Wickramasuriya, Rose T. Faghih.
This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well...
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Full text |
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Personal Name(s): | Wickramasuriya, Dilranjan S., author |
Faghih, Rose T., author | |
Edition: |
1st edition 2024. |
Imprint: |
Cham :
Springer,
2024
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Physical Description: |
XV, 228 pages 17 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031471049 |
DOI: |
10.1007/978-3-031-47104-9 |
Subject (LOC): |
- Introduction
- Some Useful Statistical Results
- State-space Model with One Binary Observation
- State-space Model with One Binary and One Continuous Observation
- State-space Model with One Binary and Two Continuous Observations
- State-space Model with One Binary, Two Continuous and a Spiking-type Observation
- State-space Model with One Marked Point Process (MPP) Observation
- Additional Models and Derivations
- MATLAB Code Examples
- List of Supplementary MATLAB Functions.