Compound Poisson distribution

Formal sciences
Statistics
Statistical inference
Bayesian statistics

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Statistics of Multivariate Extremes: Inference and Models

Explores theory and applications of multivariate extremes, emphasizing fitting marginal and dependence models together for accurate estimation.

Poisson Processes and Angular Density

Explores Poisson processes, Pickands' function, and multivariate angular densities.

Bayes' Theorem: Defective Parts Detection

Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.

Estimating R: Marking and Convergence

Covers the estimation of R in Poisson processes, focusing on marking points and convergence.

Statistical Models: Basics & Applications

Covers statistical concepts like probability, estimation, hypothesis testing, and confidence intervals for mathematicians.

Probability Distributions: Moments and Quantiles

Explains moments, expectation, variance, and quantiles in probability distributions with examples like Poisson and exponential distributions.

Arrival and Departure Processes

Covers arrival and departure processes, Poisson distributions, service times, and system performance evaluation.

Exponential Family: Definition and Properties

Covers the Exponential Family, including its definition, sufficient statistics, and distribution properties.

Linear Algebra in Data Science

Explores the application of linear algebra in data science, covering variance reduction, model distribution theory, and maximum likelihood estimates.

Functions Generators

Covers moment and cumulant generating functions for random variables, enabling calculation of moments and cumulants.

Estimating Extremal Processes

Explores extremal limit theorems, statistical analysis, and applications of extremal processes in various fields, focusing on modeling extreme events and fitting suitable models.

Page 2 of 2