1. Statistical Modeling of Ancestral Processes
Based on a Review by:
N. Rosenberg and M. Nordborg

2. Method: Phylogenetics or Genetic Analysis
Goal: to understand demographic history of humans based on polymorphism data
Since Polymorphisms are Random Processes, then they can be studied by their statistical properties
Method: Phylogenetics or Genetic Analysis
Phylogenetics/Species Tree
Genetic Anaylsis/Gene Tree

3. What do Genetic Methods do?
Genealogical methods estimate parameters of random genealogical processes that give rise to each tree
Different sites can have different geneologies

4. Coalescence is used to establish a Model
For a Model you need: Coalescence, Mutation & Recombination
You tabulate the statistical properties of your data and compare that against known data
Simulate Data
See which pattern your observed data corresponds to (see which prediction it looks like)

5. The Model is relative to what you are trying to model
Statistical Properties can vary - this is an example of an Average polymorphism rate
Polymorphisms are proportionate to population size
You may not want to look at the polymorphisms that are average. So, you would expand the parameters of your model to see if you data is expanded, collapsed, or bottlenecked
The Model is relative to what you are trying to model