Admissible decision rule

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 3 of 3

Untitled

Generative Learning & Model Properties

Explores generative learning, class priors, and maximum likelihood estimation in classification models.

Probability Theory: Basics and Applications

Covers the fundamental concepts of probability theory and random variables.

Lexicons, n-grams and Language Models

Explores lexicons, n-grams, and language models, emphasizing their importance in recognizing words and the effectiveness of n-grams for various tasks.

Numerical Encoding for DNN Accelerators

Explores novel numerical encoding for DNNs, optimizing accuracy and hardware efficiency, and multi-player information advantage.

Generalized Bayes Theorem: Vaccines and Population Probability

Explores the Generalized Bayes Theorem with three vaccines and population probabilities.

Statistical Hypothesis Testing

Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.

Hypothesis Testing

Covers hypothesis testing, Neyman-Pearson lemma, ROC curves, and optimal tests with examples and simulations.

Machine Learning Fundamentals: Structure Discovery, Classification, Regression

Covers fundamental machine learning concepts including Structure Discovery, Classification, and Regression.