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2:09:16
Chapter 09. Poisson processes and the exponential distribution
3:22:07
Chapter 08. Symmetric random walks and electrical networks (with subtitles)
0:02:33
Stochastic interacting systems in life and social sciences (new book)
3:54:37
Chapter 07. Discrete-time Markov chains (with subtitles)
1:51:19
Chapter 06. Galton-Watson branching processes (with subtitles)
3:23:28
Chapter 05. Martingales, optional stopping, convergence theory (with subtitles)
1:41:18
Chapter 04. Stochastic processes: martingales and Markov chains (with subtitles)
2:22:07
Chapter 03. Convergence of random variables and limit theorems (with subtitles)
2:25:42
Chapter 02. Distribution and conditional expectation (with subtitles)
3:08:03
Chapter 01. Measure theory, probability and combinatorics (with subtitles)
0:03:13
How to use math (and probability) to design your house
0:23:48
06-11. Joint distribution (exercise 6.12) - Poisson: thinning property.
0:14:49
06-10. Joint distribution (exercise 6.33) - Poisson: superposition property.
0:11:35
06-09. Joint distribution (exercise 6.25) - Uniform, binomial and Poisson.
0:14:27
06-08. Joint distribution (exercise 6.16) - Independent uniforms on the circle.
0:09:26
06-07. Joint distribution (exercise 6.17) - Relative positions of three uniforms.
0:11:38
06-06. Joint distribution (exercise 6.14) - Distance between two independent uniforms 2.
0:13:31
06-05. Joint distribution (exercise 6.13) - Distance between two independent uniforms 1.
0:11:21
06-04. Joint distribution (exercise 6.22) - From joint density function to probability 2.
0:15:12
06-03. Joint distribution (exercise 6.10) - From joint density function to probability 1.
0:12:42
06-02. Joint distribution (exercise 6.19) - From joint density function to marginals.
0:21:07
06-01. Joint distribution - Marginal distribution and independence.
0:26:10
05-09. Continuous random variables (exercise 5.31) - Uniform and exponential random variables.
0:07:18
05-07. Continuous random variables (exercise 5.40) - Function of a random variable.
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