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(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
