Deepesh Toshniwal
Homework Segments
(DT) Segment 1: Let's talk about probability
(DT) Segment 4: The Jailor's Tip
(DT) Segment 5: Bernoulli Trials
(DT) Segment 6: The Towne Family
(DT) Segment 7: Central Tendency And Moments
(DT) Segment 8: Some Standard Distributions
(DT) Segment 9: Characteristic Functions
(DT) Segment 10: The Central Limit Theorem
(DT) Segment 11: Random Deviates
(DT) Segment 12: P-Value Tests
(DT) Segment 13: The Yeast Genome
(DT) Segment 14: Bayesian Criticism of p-values
(DT) Segment 16: Multiple Hypotheses
(DT) Segment 15: The Towne Family Revisited
(DT) Segment 17: The Multivariate Normal Distribution
(DT) Segment 18: The Covariance Matrix
(DT) Segment 19: The Chi Square Statistic
(DT) Segment 20: Nonlinear Least Squares Fitting
(DT) Segment 21: Marginalize or Condition Uninteresting Fitted Parameters
(DT) Segment 22: Uncertainty of Derived Parameters
(DT) Segment 23: Bootstrap Estimation of Uncertainty
(DT) Segment 24: Goodness of Fit
(DT) Segment 27: Mixture Models
(DT) Segment 28: Gaussian Mixture Models in 1D
(DT) Segment 29: GMMs in N-Dimensions
(DT) Segment 30: Expectation Maximization Methods
(DT) Segment 31: A Tale of Model Selection
(DT) Segment 32: Contingency Tables: A First Look
(DT) Segment 33: Contingency Table Protocols and Exact Fisher Test
(DT) Segment 34: Permutation Tests
(DT) Segment 39: MCMC and Gibbs Sampling
In-class activities
01-22-14_--_Group_1_--_Class_Activities
