Moment-generating function

Formal sciences
Statistics
Statistical inference
Mathematical statistics

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Stochastic Processes: Spectral Density, Markov Chains, and Gaussian Variables

Covers spectral density, Markov chains, Gaussian variables, and more in stochastic processes.

All of probability: generating functionals and cumulants

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

Probability Review

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

Common Distributions: Moments and MGFs

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

Linear Models: Least Squares

Explores linear models, least squares, Gaussian vectors, and model selection methods.

Probability Spaces

Covers random variables, expectation, and distributions in probability spaces.

Untitled

Generating Functions: Moments and Cumulants

Explores generating functions for moments and cumulants, showcasing their role in distribution analysis.

Probability Inequalities

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

Regular Exponential Family Models

Explores regular exponential family models, unifying distributions like Poisson, binomial, and normal under a common framework.

Advanced Counting: Examples

Covers advanced counting techniques, including linear recurrence relations and generating functions, with examples from the Fibonacci sequence and differences between dice and poker cards.

Probability Distributions: Independence and Linear Combinations

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

Page 2 of 2