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5,896 videos, +2,320,000 subscribers
Playlist:
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
(Youtube)
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This is a collection of 76 videos for MIT 6.041- 25 lectures videos (2010) and 51 recitation videos (2013). In the recitation videos MIT Teaching Assistants solve selected recitation and tutorial problems from the course.
View the complete course:
http://ocw.mit.edu/6-041SCF13
Instructors: Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, and Kuang Xu
License: Creative Commons BY-NC-SA
More information at
http://ocw.mit.edu/terms
More courses at
http://ocw.mit.edu
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75 videos is founds.
name
time
views
Sampling People on Buses
11:56
0
The Coupon Collector Problem
7:15
0
Joint Probability Mass Function (PMF) Drill 1
17:37
0
Inferring a Parameter of Uniform Part 2
19:36
0
Inferring a Continuous Random Variable from a Discrete Measurement
11:35
0
A Coin with Random Bias
22:58
0
Competing Exponentials
7:43
0
Convergence in Probability and in the Mean Part 1
13:37
0
Hypergeometric Probabilities
5:49
0
A Mixed Distribution Example
13:25
0
Flipping a Coin a Random Number of Times
8:43
0
Inferring a Discrete Random Variable from a Continuous Measurement
18:37
0
Inferring a Parameter of Uniform Part 1
24:52
0
Convergence in Probability and in the Mean Part 2
5:46
0
Mean & Variance of the Exponential
15:11
0
Using the Central Limit Theorem
11:25
0
Rooks on a Chessboard
18:28
0
Network Reliability
7:24
0
Convergence in Probability Example
7:37
0
A Chess Tournament Problem
18:33
0
The Probability Distribution Function (PDF) of [X]
9:60
0
Setting Up a Markov Chain
10:36
0
Uniform Probabilities on a Square
9:17
0
Probabilty Bounds
10:46
0
The Sum of Discrete and Continuous Random Variables
5:37
0
Joint Probability Mass Function (PMF) Drill 2
13:45
0
PMF of a Function of a Random Variable
15:26
0
The Monty Hall Problem
15:59
0
Widgets and Crates
10:60
0
The Difference of Two Independent Exponential Random Variables
6:12
0
Mean First Passage and Recurrence Times
9:27
0
Ambulance Travel Time
6:47
0
Bernoulli Process Practice
8:22
0
Calculating a Cumulative Distribution Function (CDF)
8:44
0
Probability that Three Pieces Form a Triangle
12:30
0
A Random Walker
5:52
0
A Coin Tossing Puzzle
8:11
0
Markov Chain Practice 1
11:42
0
Communication over a Noisy Channel
19:53
0
Normal Probability Calculation
5:25
0
A Random Number of Coin Flips
17:19
0
An Inference Example
27:51
0
Conditional Probability Example
14:22
0
A Derived Distribution Example
9:30
0
The Variance in the Stick Breaking Problem
11:30
0
Geniuses and Chocolates
8:43
0
Using the Conditional Expectation and Variance
10:10
0
The Absent Minded Professor
13:90
0
Uniform Probabilities on a Triangle
22:58
0
The Probability of the Difference of Two Events
5:55
0
7. Discrete Random Variables III
50:42
0
4. Counting
51:34
0
5. Discrete Random Variables I
50:35
0
6. Discrete Random Variables II
50:53
0
2. Conditioning and Bayes' Rule
51:11
0
3. Independence
46:30
0
1. Probability Models and Axioms
51:11
0
13. Bernoulli Process
50:58
0
24. Classical Inference II
51:50
0
15. Poisson Process II
49:28
0
17. Markov Chains II
51:25
0
25. Classical Inference III
52:70
0
19. Weak Law of Large Numbers
50:13
0
16. Markov Chains I
52:60
0
20. Central Limit Theorem
51:23
0
11. Derived Distributions (ctd.); Covariance
51:55
0
10. Continuous Bayes' Rule; Derived Distributions
48:53
0
9. Multiple Continuous Random Variables
50:51
0
8. Continuous Random Variables
50:29
0
14. Poisson Process I
52:44
0
22. Bayesian Statistical Inference II
52:16
0
23. Classical Statistical Inference I
49:32
0
21. Bayesian Statistical Inference I
48:50
0
18. Markov Chains III
51:50
0
12. Iterated Expectations
47:54
0
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