Bernoulli process

Formal sciences
Mathematics
Analysis
Calculus

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Statistical Estimation: Properties and Distributions

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

Probability Measures and Random Variables

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

Variance and Independent Random Variables

Covers variance, independent random variables, and their properties, including examples and proofs.

Discrete Random Variables: Functions and Probabilities

Explores discrete random variables, their functions, and probabilities in various scenarios.

Advanced Probability: Expected Value

Explores expected value in probability theory, including dice rolls and Bernoulli trials.

Confidence Interval for Bernoulli Model Score

Explains how to calculate the confidence interval for the score parameter in the Bernoulli model.

Probability Distributions: Basics and Properties

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

Expectation of a Random Variable

Defines the expectation for random variables, emphasizing the importance of absolute values.

Central Limit Theorem: Empirical Mean

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

Advanced Probability

Delves into advanced probability theory, covering inequalities, trials, distributions, and calculations for probabilities and expectations.

Page 2 of 2