Maximum Likelihood Estimation

1. Introduction
   • probability
   • models
   • parameters
   • conditional probability
   • binomial probability distribution
2. Model-fitting
   • likelihood
   • maximum likelihood estimation
   • parameter space
3. MLE in Practice
   • analytic approachs
   • numerical optimsiation algorithms
   • log-likelihood
   • identification
   • local minima
4. Likelihood ratio test
   • alternate and null hypothesis
   • chi-squared
   • significance testing
   • degrees of freedom
5. MLE analysis of twin data
   • normal distribution
   • multivariate normal distribution
   • covariance structure
   • reparameterisation
6. MLE analysis of linkage data
   • recombination
   • recombination fraction (theta)
   • lod score