Factorial moment

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Related lectures (26)

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Common Distributions: Moments and MGFs

Covers common distributions, moment generating functions, and covariance matrices in statistics for data science.

Probability Inequalities

Explores probability inequalities, convergence types, and moment generating functions for distribution approximation.

Probability Review

Introduces subgaussian and subexponential random variables, conditional expectation, and Orlicz norms.

Probability Distributions: Independence and Linear Combinations

Explores independence, linear combinations of variables, and probability laws.

Elements of Statistics

Introduces key statistical concepts through practical exercises and MATLAB applications.

Multivariate Normal Distribution

Covers the multivariate normal distribution, moment-generating function, and combinatorics.

Estimating R: Moments and Cumulants

Explores the estimation of R using moments and cumulants in extreme value analysis.

Stochastic Models for Communications

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

All of probability: generating functionals and cumulants

Covers moment generating function, cumulants, Laplace transform, and Fourier transform in probability theory.

Elements of Statistics: Exercises

Covers exercises on Bayes' Theorem, moment generating functions, photon counts, disease probabilities, and distribution properties.