Poisson distribution

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Related lectures (29)

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Stationary Distribution in Markov Chains

Explores the concept of stationary distribution in Markov chains, discussing its properties and implications, as well as the conditions for positive-recurrence.

Random Walks on Discrete Spaces

Explores random walks on discrete spaces and their properties, including multivariate random variables and Poisson distributions.

Elementary Distributions Factsheet

Covers elementary distributions like Bernoulli, Binomial, Geometric, Negative Binomial, Poisson, and Multinomial.

Extreme Value Analysis: Applications and Consequences

Explores extremal limit theorems and statistical analysis for analyzing extreme events like Venezuela rainfall and Venice data.

Probability Inequalities

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

Property Estimation and Exponential Family

Covers test statistics, threshold values, and lower bounds for estimating properties.

Discrete Random Variables: Functions and Distributions

Introduces probability mass functions for discrete random variables and various distributions, emphasizing the calculation of expectations.

Count Data Models & Univariate Time Series Analysis

Covers count data models and Poisson regression, then transitions to univariate time series analysis for forecasting economic variables.

Poisson Statistics: Examples and Applications

Explores Poisson statistics, examples of earthquakes and lightning strikes, dark current, and readout noise in photosensitive devices.

Poisson Process: Properties

Covers the properties of Poisson processes, including arrival times and stochastic models for communications.