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- 2012 Concepts Study Page
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- Bernoulli Trial problem
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- Class Activity 2/20/13
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- Concept Studying Guide For Oral Exam
- Continuous Probability Distribution versus Discrete Probability Distribution
- Dan's Segment 1
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- Python 1
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- Seg15
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- Seg17. The Multivariate Normal Distribution
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- Seg18. The Correlation Matrix
- Seg19. The Chi Square Statistic
- Seg20. Nonlinear Least Squares Fitting
- Seg21. Marginalize vs. Condition Uninteresting Fitted Parameters
- Seg22. Uncertainty of Derived Parameters
- Seg23. Bootstrap Estimation of Uncertainty
- Seg24. Goodness of Fit
- Seg27. Mixture Models
- Seg28. 28 Gaussian Mixture Models in 1-D
- Seg28. Gaussian Mixture Models in 1-D
- Seg29. GMMs in N-Dimensions
- Seg30. Expectation Maximization (EM) Methods
- Seg32. Contingency Tables: A First Look
- Seg33. Contingency Table Protocols and Exact Fisher Test
- Seg34. Permutation Tests
- Seg39. MCMC and Gibbs Sampling
- Seg40. Markov Chain Monte Carlo, Example 1
- Seg41. Markov Chain Monte Carlo, Example 2
- Seg47. Low-Rank Approximation of Data, seg48. Principal Component Analysis (PCA)
- Seg4 Concept Group 1
- Seg4 Concept Group 2
- Seg4 Concept Group 3
- Seg4 Concept Group 4
- Segment (1)
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- Segment 1
- Segment 1. Let's Talk about Probability
- Segment 10
- Segment 10. The Central Limit Theorem
- Segment 10: The Central Limit Theorem - 2/8/2013
- Segment 11
- Segment 11. Random Deviates
- Segment 11: Random Deviates - 2/20/2012
- Segment 12
- Segment 12. P-Value Tests
- Segment 12: Segment 12. P-Value Tests - 2/22/2012
- Segment 13
- Segment 13. The Yeast Genome
- Segment 13: The Yeast Genome - 2/25/2012
- Segment 14
- Segment 14. Bayesian Criticism of P-Values
- Segment 14: Bayesian Criticism of P-Values - 2/27/2012
- Segment 15
- Segment 15. The Towne Family - Again
- Segment 15: Multiple Hypothesis - 3/1/2012
- Segment 15: The Towne Family - Again - 3/1/2012
- Segment 16
- Segment 16. Multiple Hypotheses
- Segment 16: The Towne Family - Again - 3/4/2012
- Segment 17
- Segment 17. The Multivariate Normal Distribution
- Segment 17: The Multivariate Normal Distribution - 3/8/2013
- Segment 18
- Segment 18. The Correlation Matrix
- Segment 18: The Correlation Matrix - 3/18/2012
- Segment 19
- Segment 19. The Chi Square Statistic
- Segment 19: The Chi Square Statistic - 3/22/2012
- Segment 1: Let's Talk About Probability - 1/16/2013
- Segment 2
- Segment 2. Bayes
- Segment 20
- Segment 20. Nonlinear Least Squares Fitting
- Segment 20: Nonlinear Least Squares Fitting - 3/24/2012
- Segment 21
- Segment 21. Marginalize or Condition Uninteresting Fitted Parameters
- Segment 21: Marginalize or Condition Uninteresting Fitted Parameters - 3/27/2013
- Segment 22
- Segment 22. Uncertainty of Derived Parameters
- Segment 22. Uncertainty of Derived Parameters - 3/29/2013
- Segment 23
- Segment 23. Bootstrap Estimation of Uncertainty
- Segment 23: Bootstrap Estimation of Uncertainty - 4/1/2013
- Segment 24
- Segment 24. Goodness of Fit
- Segment 24: Goodness of Fit - 4/3/2013
- Segment 25. Fitting Models to Counts
- Segment 26. The Poisson Count Pitfall
- Segment 27
- Segment 27. Mixture Models
- Segment 27: Mixture Models - 4/5/2013
- Segment 28
- Segment 28. Gaussian Mixture Models in 1-D
- Segment 28: Gaussian Mixture Models 1D - 4/8/2013
- Segment 29
- Segment 29. GMMs in N-Dimensions
- Segment 29: GMMS in N-Dimensions - 4/10/2013
- Segment 2: Bayes - 1/18/2013
- Segment 3
- Segment 3. Monty Hall
- Segment 30
- Segment 30. Expectation Maximization (EM) Methods
- Segment 30: Expectation Maximization (EM) Methods = 4/12/2013
- Segment 31
- Segment 31. A Tale of Model Selection
- Segment 31: A Tale of Model Selection - 4/15/2013
- Segment 32
- Segment 32. Contingency Tables: A First Look
- Segment 32: Contingency Tables: A First Look - 4/17/2013
- Segment 33
- Segment 33. Contingency Table Protocols and Exact Fisher Test
- Segment 33: Contingency Table Protocols and Exact Fisher Test - 4/19/2013
- Segment 34
- Segment 34. Permutation Tests
- Segment 34: Permutation Tests - 4/22/2013
- Segment 35. Ordinal vs. Nominal Contingency Tables
- Segment 36. Contingency Tables Have Nuisance Parameters
- Segment 37. A Few Bits of Information Theory
- Segment 38. Mutual Information
- Segment 39
- Segment 39. MCMC and Gibbs Sampling
- Segment 39: MCMC and Gibbs Sampling - 4/24/2013
- Segment 3: Bayes - 1/23/2013
- Segment 3: Monty Hall - 1/23/2013
- Segment 4
- Segment 4. The Jailer's Tip
- Segment 40
- Segment 40. Markov Chain Monte Carlo, Example 1
- Segment 40: Markov Chain Monte Carlo, Example 1 - 4/26/2013
- Segment 41
- Segment 41. Markov Chain Monte Carlo, Example 2
- Segment 41: Markov Chain Monte Carlo, Example 2 - 4/29/2013
- Segment 47
- Segment 47. Low-Rank Approximation of Data
- Segment 48
- Segment 48. Principal Component Analysis (PCA)
- Segment 49. Eigenthingies and Main Effects
- Segment 4: The Jailer's Tip - 1/25/2013
- Segment 5
- Segment 5. Bernoulli Trials
- Segment 5: Bernoulli Trials - 1/28/2013
- Segment 6
- Segment 6. The Towne Family Tree
- Segment 6: The Towne Family - 1/31/2013
- Segment 7
- Segment 7. Central Tendency and Moments
- Segment 7: Central Tendency and Moments - 2/2/2013
- Segment 8
- Segment 8. Some Standard Distributions
- Segment 8: Some Standard Distributions - 2/4/2013
- Segment 9
- Segment 9. Characteristic Functions
- Segment 9: Characteristic Functions - 2/6/2013
- Sets 24 and 25 Concepts Review Mar 26
- Silu's homework problems
- Somsubhra Barik's Term Project Page
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- Travis: Segment 33
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- Travis: Segment 4
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- Travis: Segment 41
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- Trettels:Session 1 - 16JAN
- Urns with MCMC
- Wed Feb 1
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- When and Where?
- Write Your Own Prelims Exam Mar 19
