# Difference between revisions of "Eleisha Jackson"

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*[[Eleisha's Segment 37: A Few Bits of Information Theory]] | *[[Eleisha's Segment 37: A Few Bits of Information Theory]] | ||

*[[Eleisha's Segment 38: Mutual Information]] | *[[Eleisha's Segment 38: Mutual Information]] | ||

+ | *[[Eleisha's Segment 39: MCMC and Gibbs Sampling]] | ||

+ | *[[Eleisha's Segment 40: Markov Chain Monte Carlo, Example 1]] | ||

+ | *[[Eleisha's Segment 41: Markov Chain Monte Carlo, Example 2]] | ||

+ | *[[Eleisha's Segment 47: Low-Rank Approximation of Data]] | ||

+ | *[[Eleisha's Segment 48: Principal Component Analysis (PCA)]] | ||

<b> Group Work</b> | <b> Group Work</b> | ||

*[[Group Two: The Towne Family - Again, Class Activity]] | *[[Group Two: The Towne Family - Again, Class Activity]] |

## Latest revision as of 22:07, 6 April 2014

** Individual Pages**

- Eleisha's Segment 1: Let's Talk about Probability
- Eleisha's Segment 2: Bayes
- Eleisha's Segment 3: Monty Hall
- Eleisha's Segment 4: The Jailer's Tip
- Eleisha's Segment 5: Bernoulli Trials
- Eleisha's Segment 6: The Towne Family Tree
- Eleisha's Segment 7: Central Tendency and Moments
- Eleisha's Segment 8: Some Standard Distributions
- Eleisha's Segment 9: Characteristic Functions
- Eleisha's Segment 10: The Central Limit Theorem
- Eleisha's Segment 11: Random Deviates
- Eleisha's Segment 12: P-Value Tests
- Eleisha's Segment 13: The Yeast Genome
- Eleisha's Segment 14: Bayesian Criticism of P-Values
- Eleisha's Segment 15: The Towne Family - Again
- Eleisha's Segment 16: Multiple Hypotheses
- Eleisha's Segment 17: The Multivariate Normal Distribution
- Eleisha's Segment 18: The Correlation Matrix
- Eleisha's Segment 19: The Chi-Square Statistic
- Eleisha's Segment 20: Non-linear Least Squares Fitting
- Eleisha's Segment 21: Marginalize or Condition Uninteresting Parameters
- Eleisha's Segment 22: Uncertainty of Derived Parameters
- Eleisha's Segment 23: Bootstrap Estimation of Uncertainty
- Eleisha's Segment 24: Goodness of Fit
- Eleisha's Segment 27: Mixture Models
- Eleisha's Segment 28: Gaussian Mixtures Models in 1D
- Eleisha's Segment 29: GMMs in N-Dimensions
- Eleisha's Segment 30: Expectation Maximization (EM) Methods
- Eleisha's Segment 31: A Tale of Model Selection
- Eleisha's Segment 32: Contingency Tables: A First Look
- Eleisha's Segment 33: Contingency Tables Protocols and Exact Fisher Test
- Eleisha's Segment 34: Permutation Tests
- Eleisha's Segment 37: A Few Bits of Information Theory
- Eleisha's Segment 38: Mutual Information
- Eleisha's Segment 39: MCMC and Gibbs Sampling
- Eleisha's Segment 40: Markov Chain Monte Carlo, Example 1
- Eleisha's Segment 41: Markov Chain Monte Carlo, Example 2
- Eleisha's Segment 47: Low-Rank Approximation of Data
- Eleisha's Segment 48: Principal Component Analysis (PCA)

** Group Work**