Discrete uniform distribution

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Related lectures (31)

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Estimating R: Uniform, Hypergeometric, Poisson

Covers the estimation of R through balanced dice, uniform, hypergeometric, and Poisson distributions.

Probability and Statistics

Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.

Discrete Random Variables: Functions and Distributions

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

Stochastic Models for Communications

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Probability Distributions: Basics and Properties

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Estimating Random Variables

Covers the estimation of random variables, including expectations, variances, and quantiles.

Learning Latent Models in Graphical Structures

Explores learning latent models in graphical structures, focusing on scenarios with incomplete samples and introducing the notion of distance among variables.

Central Limit Theorem: Empirical Mean

Explores the convergence of empirical mean distributions towards Gaussian distributions, focusing on the Central Limit Theorem.

EM Algorithm: Lite-bulbs Lifetime Estimation

Explains the EM algorithm for estimating lite-bulbs lifetime and discusses its application to heavy-bulbs.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.