Bayesian Filter Design for Computational Medicine

Dublin Core

Title

Bayesian Filter Design for Computational Medicine

Subject

Medicine
Physiological decoders

Description

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 as some basic background material in statistics that are necessary for the equation derivations that are utilized in subsequent chapters.

Creator

Dilranjan S. Wickramasuriya
Rose T. Faghih

Source

https://library.oapen.org/bitstream/handle/20.500.12657/89933/978-3-031-47104-9.pdf?sequence=1

Publisher

Springer Nature

Date

2024

Contributor

Mustabsyirah

Rights

Creative Commons

Format

PDF

Language

English

Files

Bayesian Filter Design for Computational Medicine.jpg

Citation

Dilranjan S. Wickramasuriya Rose T. Faghih, “Bayesian Filter Design for Computational Medicine,” Open Educational Resource (OER) - USK Library, accessed January 31, 2026, http://oer.usk.ac.id/items/show/8549.

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