Thomas Bayes

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Related lectures (30)

Page 3 of 3

Nearest Neighbor Classifier: Curse of Dimensionality

Explores the nearest neighbor classifier method, discussing its limitations in high-dimensional spaces and the importance of spatial correlation for effective predictions.

Elements of Statistics: Exercises

Covers exercises on Bayes' Theorem, moment generating functions, photon counts, disease probabilities, and distribution properties.

Conditional Probability: Understanding Events and Their Relationships

Covers conditional probability, illustrating how events influence each other's probabilities and its applications in real-world scenarios.

Conditional Probability: Bayes Theorem

Explores conditional probability and Bayes' theorem, demonstrating their application in real-life scenarios.

Probability and Statistics

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.

Expectation Maximization: Learning Parameters

Covers the Expectation Maximization algorithm for learning parameters and dealing with unknown variables.

Bayes' Theorem Overview

Introduces FROG, a tool for educators to enhance classroom interactivity.

Bayes' Theorem: Probability Applications

Introduces Bayes' Theorem for calculating conditional probabilities in disease testing scenarios.

Bayesian Estimation

Covers the fundamentals of Bayesian estimation, focusing on the application of Bayes' Theorem in scalar estimation.

Probability: Examples

Covers examples of probability, including Bayes Theorem, independence, and conditional probability.