Moment-generating function

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Page 3 of 4

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

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

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

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

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

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

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

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

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