# Rene

(Rene) Segment 1: Let's talk about probability

(Rene) Segment 6: The Town Family Tree

(Rene) Segment 7: Central tendency and moments

(Rene) Segment 8: Some standard distributions

(Rene) Segment 9: Characteristic functions

(Rene) Segment 10: The central limit theorem

(Rene) Segment 11: Random Deviates

(Rene) Segment 12: P-value tests

(Rene) Segment 13: The Yeast Genome

(Rene) Segment 15: The Towne Family - again

(Rene) Segment 17: The multivariate normal distribution

(Rene) Segment 18: The Correlation Matrix

(Rene) Segment 19: The ChiSquare statistic

(Rene) Segment 20: Non-linear least squares

(Rene) Segment 21: Marginalize or condition uninteresting fitted parameters

(Rene) Segment 22: Uncertainty of derived parameters

(Rene) Segment 23: Bootstrap estimation of uncertainty

(Rene) Segment 24: Goodness of fit

(Rene) Segment 25: Mixture models

(Rene) Segment 28: Gaussian Mixture models

(Rene) Segment 28: GMM's in N-dimensions

(Rene) Segment 30: Expectation Maximization (EM) Methods

(Rene) Segment 31: A tail of model selection

(Rene) Segment 32: Contingency tables: a first look

(Rene) Segment 33: Contingency table protocols and exact Fisher test

(Rene) Segment 34: Permutation tests

(Rene) Segment 39: MCMC and Gibbs sampling

(Rene) Segment 40: Markov Chain Monte Carlo, Example 1