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- (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 15: The Towne Family Revisited
- (DT) Segment 16: Multiple Hypotheses
- (DT) Segment 17: The Multivariate Normal Distribution
- (DT) Segment 17: The Towne Family Revisited
- (DT) Segment 18: The Covariance Matrix
- (DT) Segment 19: The Chi Square Statistic
- (DT) Segment 1: Let's talk about probability
- (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 2: Bayes
- (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
- (DT) Segment 3: Monty Hall
- (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: Characteristic Functions
- (DT) Segment 8: Some Standard Distributions
- (DT) 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 1: Let's talk about probability
- (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 26: Gaussian Mixture models
- (Rene) Segment 28: GMM's in N-dimensions
- (Rene) Segment 28: Gaussian Mixture models
- (Rene) Segment 2: Bayes
- (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 3: Monty Hal
- (Rene) Segment 40: Markov Chain Monte Carlo, Example 1
- (Rene) Segment 41: Markov Chain Monte Carlo, Example 2
- (Rene) Segment 47: Low rank approximation of data
- (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
- 01-22-14 -- Group 1 -- Class Activities
- 02-03-14 -- Group 4 -- Class Activities
- 02-05-14 -- Group 4 -- Class Activities
- 02-10-14 -- Nick Wilson -- Class Activities
- 02-17-14 -- Group 1 -- Class Activities
- 02-21-14 -- Nick Wilson -- Class Activities
- 02-24-14 -- Group 1 -- Group Quiz
- 03-17-14 -- Nick Wilson -- Class Activities
- 03-19-14 -- Nick Wilson -- Class Activities
- 03-21-14 -- Nick Wilson -- Class Activities
- 03-31-14 -- Nick Wilson -- Class Activities
- 030514Group2
- 031714Group1
- 04-02-14 -- Nick Wilson -- Class Activities
- 04-04-14 -- Nick Wilson -- Class Activities
- 04-09-14 -- Nick Wilson -- Class Activities
- 04-11-14 -- Nick Wilson -- Class Activities
- 04-14-14 -- Nick Wilson -- Class Activities
- 04-25-14 -- Group -- Class Activities
- 040214GroupAaron
- 040914Aaron
- 041114Aaron
- 041614Aaron
- 042514Aaron
- 042814Aaron
- 050714Group3
- 1
- 10
- 11
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 2
- 20
- 2014 Concepts Study Page
- 23
- 24
- 27
- 28
- 3
- 30
- 31
- 32
- 33
- 34
- 4
- 4/14 Group 1
- 4/25 Group 4
- 5
- 6
- 7
- 8
- 9
- A comment on segment 13 - shuqi
- Aaron
- Aaron Another MCMC simulation
- Aaron Chi2 SD table
- Aaron Drawing Error Ellipse
- Aaron Misc Code
- Aaron MonteCarloEstPi
- Aaron MontyPythonTest
- Aaron Myers
- Aaron Random Number generation
- Aaron Seg 48 Deflating
- Aaron Segment 1
- Aaron Segment 10
- Aaron Segment 11
- Aaron Segment 12
- Aaron Segment 13
- Aaron Segment 14
- Aaron Segment 15
- Aaron Segment 16
- Aaron Segment 17
- Aaron Segment 18
- Aaron Segment 19
- Aaron Segment 2
- Aaron Segment 20
- Aaron Segment 21
- Aaron Segment 22
- Aaron Segment 23
- Aaron Segment 23 More trials
- Aaron Segment 24
- Aaron Segment 27
- Aaron Segment 28
- Aaron Segment 29
- Aaron Segment 3
- Aaron Segment 30
- Aaron Segment 31
- Aaron Segment 32
- Aaron Segment 33
- Aaron Segment 34
- Aaron Segment 37
- Aaron Segment 38
- Aaron Segment 39
- Aaron Segment 39 Class
- Aaron Segment 4
- Aaron Segment 40
- Aaron Segment 41
- Aaron Segment 47
- Aaron Segment 48
- Aaron Segment 49
- Aaron Segment 5
- Aaron Segment 6
- Aaron Segment 6 Class
- Aaron Segment 7
- Aaron Segment 7 Class
- Aaron Segment 8
- Aaron Segment 9
- Aaron Test Uniform to Normal
- Aaron Testing data fits to different dists
- Activity20140203
- Andrea: Segment 10
- Andrea: Segment 11
- Andrea: Segment 12
- Andrea: Segment 13
- Andrea: Segment 14
- Andrea: Segment 15
- Andrea: Segment 17
- Andrea: Segment 18
- Andrea: Segment 19
- Andrea: Segment 2
- Andrea: Segment 20
- Andrea: Segment 21
- Andrea: Segment 22
- Andrea: Segment 23
- Andrea: Segment 24
- Andrea: Segment 27
- Andrea: Segment 4
- Andrea: Segment 5
- Andrea: Segment 6
- Andrea: Segment 8
- Andrea: Segment 9
- Andrea Hall
- Build your own random number generator
- Chess contingency tables
- ClassActivity20130325
- ClassActivity20140317
- Class Activities
- Class Activity 3/5/14
- Daniel Shepard
- Data Set
- Data set
- Deepesh Toshniwal
- Displaying IPython notebooks on the wiki
- EM activity
- Elad Liebman
- Elad Segment 1
- Elad Segment 10
- Elad Segment 11
- Elad Segment 12
- Elad Segment 13
- Elad Segment 14
- Elad Segment 15
- Elad Segment 16
- Elad Segment 19
- Elad Segment 2
- Elad Segment 20
- Elad Segment 22
- Elad Segment 27
- Elad Segment 28
- Elad Segment 3
- Elad Segment 30
- Elad Segment 32
- Elad Segment 33
- Elad Segment 34
- Elad Segment 39
- Elad Segment 4
- Elad Segment 40
- Elad Segment 5
- Elad Segment 6
- Elad Segment 7
- Elad Segment 8
- Elad Segment 9
- 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 17: The Towne Family - Again
- Eleisha's Segment 18: The Correlation Matrix
- Eleisha's Segment 19: The Chi-Square Statistic
- Eleisha's Segment 1: Let's Talk about Probability
- 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 2: Bayes
- 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 3: Monty Hall
- Eleisha's Segment 40: Markov Chain Monte Carlo, Example 1
- Eleisha's Segment 41: Markov Chain Monte Carlo, Example 2
- Eleisha's Segment 48: Principal Component Analysis (PCA)
- 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 Jackson
- Ellen Le
- Exam Sign-Up (2014)
- Exam Study Session Questions (2014)
- Expected values and continuous distributions
- Feb12-Team2-Random Number Generator
- Feb20-Team4-P-value follow up
- Feb5 team2
- Feedback 2014
- Find the Volcano
- GMM activity
- Group2EMActivity
- Group Two: The Towne Family - Again, Class Activity
- Ian Segment 1
- Ian Segment 10
- Ian Segment 11
- Ian Segment 12
- Ian Segment 13
- Ian Segment 14
- Ian Segment 15
- Ian Segment 16
- Ian Segment 17
- Ian Segment 19
- Ian Segment 2
- Ian Segment 22
- Ian Segment 23
- Ian Segment 24
- Ian Segment 27
- Ian Segment 28
- Ian Segment 29
- Ian Segment 3
- Ian Segment 30
- Ian Segment 32
- Ian Segment 33
- Ian Segment 34
- Ian Segment 39
- Ian Segment 4
- Ian Segment 40
- Ian Segment 41
- Ian Segment 47
- Ian Segment 48
- Ian Segment 5
- Ian Segment 6
- Ian Segment 7
- Ian Segment 8
- Ian Segment 9
- Ian Yen
- Information theory blitz
- Jan31 Team4 Multinomial Parameter Estimation
- Jeff's gnomes and trolls simulation
- Jonathan Russ
- Jonathan Segment 1
- Jonathan Segment 10
- Jonathan Segment 11
- Jonathan Segment 12
- Jonathan Segment 13
- Jonathan Segment 14
- Jonathan Segment 15
- Jonathan Segment 16
- Jonathan Segment 17
