Все публикации

Chapter 09. Poisson processes and the exponential distribution

Chapter 08. Symmetric random walks and electrical networks (with subtitles)

Stochastic interacting systems in life and social sciences (new book)

Chapter 07. Discrete-time Markov chains (with subtitles)

Chapter 06. Galton-Watson branching processes (with subtitles)

Chapter 05. Martingales, optional stopping, convergence theory (with subtitles)

Chapter 04. Stochastic processes: martingales and Markov chains (with subtitles)

Chapter 03. Convergence of random variables and limit theorems (with subtitles)

Chapter 02. Distribution and conditional expectation (with subtitles)

Chapter 01. Measure theory, probability and combinatorics (with subtitles)

How to use math (and probability) to design your house

06-11. Joint distribution (exercise 6.12) - Poisson: thinning property.

06-10. Joint distribution (exercise 6.33) - Poisson: superposition property.

06-09. Joint distribution (exercise 6.25) - Uniform, binomial and Poisson.

06-08. Joint distribution (exercise 6.16) - Independent uniforms on the circle.

06-07. Joint distribution (exercise 6.17) - Relative positions of three uniforms.

06-06. Joint distribution (exercise 6.14) - Distance between two independent uniforms 2.

06-05. Joint distribution (exercise 6.13) - Distance between two independent uniforms 1.

06-04. Joint distribution (exercise 6.22) - From joint density function to probability 2.

06-03. Joint distribution (exercise 6.10) - From joint density function to probability 1.

06-02. Joint distribution (exercise 6.19) - From joint density function to marginals.

06-01. Joint distribution - Marginal distribution and independence.

05-09. Continuous random variables (exercise 5.31) - Uniform and exponential random variables.

05-07. Continuous random variables (exercise 5.40) - Function of a random variable.