A Minimal Book Example
1
About
1.1
Overview
1.2
Summary
2
Overview of Topic Modeling
2.1
Generative model
2.2
Table of Variables
3
Simulation
3.1
Simulate his
\(N_{i}\)
observed disease topic identities Z_{ij} according to his distribtuion of
\(\theta_{i}\)
3.2
Visualizing Basic Simulation
3.3
Observed data
3.4
heatmap of people by disease
4
Adding a time element
4.1
Reviewing Alpha
4.1.1
Ratio of Alpha Values:
4.1.2
Absolute Values of Alpha Parameters:
4.1.3
Interpretation in our Context:
4.2
Normalization
4.3
Visualization part 2
5
However this assumes that an individual stays within a topic
5.1
Example function to update theta based on new diagnosis
5.2
Topic Distribution per patient
6
TODO: affect speed based through transitions based on genetics
7
Sharing your book
7.1
Publishing
7.2
404 pages
7.3
Metadata for sharing
References
Published with bookdown
Bayes meets the Lifetime
References