Bernoulli trial

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Related lectures (30)

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Exponential Family Distributions

Covers exponential family distributions, natural parameters, sufficient statistics, and logistic regression.

Advanced Probability: Probability Concepts and Applications

Explores advanced probability concepts, independence of events, expected value theorem, and inversions in permutations.

Hoeffding's Inequality: Binomial Distribution

Explores Hoeffding's inequality and the binomial distribution, focusing on error minimization and generalization gaps in predictor selection.

Variance: Independent Random Variables and Bernoulli Trials

Explores Bienaymé's Formula for independent random variables and variance in Bernoulli trials.

Binomial Distribution in R

Introduces the Binomial distribution in R with examples of n coin tosses.

Random Variables: Introduction and Bernoulli Trials

Introduces random variables, approximation, convergence, and Bernoulli trials in statistics.

Statistical Estimation: Properties and Distributions

Explores statistical parameter estimation, sample accuracy, and Bernoulli variables' properties.

Central Limit Theorem: Empirical Mean

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

Probability Measures and Random Variables

Covers the Caratheodory extension theorem, uniqueness and existence of probability measures, Bernoulli random variables, and spaces of random variables.

Estimation: Measures of Performance

Explores estimation measures of performance, including the Cramér-Rao bound and maximum likelihood estimation.