Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Concept
Relative likelihood
Formal sciences
Statistics
Data analysis
Cross-validation
Graph Chatbot
Related lectures (31)
Login to filter by course
Login to filter by course
Reset
Previous
Page 2 of 4
Next
Model Selection Criteria: AIC, BIC, Cp
Explores model selection criteria like AIC, BIC, and Cp in statistics for data science.
Classification Detection
Covers binary hypothesis testing and decision functions in specific scenarios.
Extreme Value Theory: Statistical Applications
Explores statistical applications of threshold exceedances and GPD modeling in extreme value theory.
Belief Propagation in Stochastic Block Models
Covers the application of Belief Propagation in Stochastic Block Models, focusing on simplifying the process and solving it step by step.
Densities and Bayesian Inference: Decision Rules and Bayes Law
Covers classification concepts, medical screening tests, and decision rules.
Frame Synchronization: Systematic Derivation with Likelihood Test
Covers the systematic derivation of a synchronization algorithm with a generalized likelihood test in wireless receivers.
Exponential Family: Properties and Estimation
Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.
Statistical Inference
Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.
End of the M-step derivation
Covers the derivation of the M-step for mu_k and Sigma_k, focusing on key quantities and matrices.
Likelihood Ratio Tests: Optimality and Applications
Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.