Heavy-tailed distribution

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Page 3 of 4

Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.

Explores copulas, simulation algorithms, fitting data with rank correlations, and GANs for image generation.

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Covers the generalization of factorials, mathematical behavior, and absorption phenomena.

Covers Extreme Value Theory, GEV distributions, GPD, and threshold exceedances.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Explores logistic and Dirichlet densities, parametric models, and asymmetric alternatives.

Covers the concept of compression and constructing prefix-free codes based on given information.

Explores fundamental solutions, Green's formula, distributions, and convergence in Laplace equation.

Explores stability relationships, domains of attraction, and limitations in distributions for statistical modeling and analysis.