Event (probability theory)

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Related lectures (30)

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Generalization of Martingales

Explores the generalization of Martingale Central Limit Theorem to sub- and supermartingales, discussing key properties and corollaries.

Conditional Probability: Basics and Examples

Explains conditional probability through dice and coin examples.

Martingales: Definitions and Properties

Explores the definitions and properties of martingales in probability theory, including key concepts and examples.

Probability and Statistics: Fundamentals

Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.

Probabilistic Information Retrieval

Covers probabilistic information retrieval, query likelihood models, language modeling, and relevance feedback algorithms.

Counting: Permutations and Combinations

Covers permutation, combination, and the pigeonhole principle in counting problems.

Probability Theory: Divisibility and Expected Gain

Explores the probability of winning and expected gain in a lottery scenario.

Basic Properties of Conditional Expectation

Covers basic properties of conditional expectation and Jensen's inequality in probability theory.

Quantum Mechanics: Measurement Chain and Consciousness Theory

Explores Quantum Mechanics' Measurement Chain and Consciousness Theory, challenging classical views on determinism and probability.

Gaussian Distribution Basics

Covers the basics of Gaussian distribution, including linear transformations and stability theorems.