Mathematical and Statistical Methods for Genetic Analysis

Basic Principles of Population Genetics * Counting Methods and the EM Algorithm * Newton's Method and Scoring * Hypothesis Testing and Categorical Data * Genetic Identity Coefficients * Applications of Identity Coefficients * Computation of Mendelian Likelihoods * The Polygenic Model * Descent Graph Models * Molecular Phylogeny * Radiation Hybrid Mapping * Models of Recombination * Sequence Analysis * Poisson Approximation * Diffusion Processes