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
Lecture
Multivariate Distributions: Spherical and Elliptical
Graph Chatbot
Related lectures (31)
Previous
Page 1 of 4
Next
Quantitative Risk Management: Distributions and Techniques
Covers distributions and techniques in Quantitative Risk Management for financial modeling.
Principal Component Analysis: Introduction
Introduces Principal Component Analysis, focusing on maximizing variance in linear combinations to summarize data effectively.
Dependence Concepts and Copulas
Explores dependence concepts, copulas, correlation fallacies, and rank correlations in statistics.
Elliptical Distributions: Properties and Applications
Covers elliptical distributions, including properties, applications, and risk management implications.
Copulas: Properties and Applications
Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.
Multivariate Statistics: Normal Distribution
Introduces multivariate statistics, covering normal distribution properties and characteristic functions.
Multivariate Statistics: Introduction and Methods
Introduces multivariate statistics, focusing on uncovering associations between components in data in vector form.
Multivariate Statistics: Conditional Distributions
Covers conditional distributions and correlations in multivariate statistics, including partial variance and covariance, with applications to non-normal distributions.
Multivariate Normal Distribution: Correlation and Covariance
Covers correlation, covariance, empirical estimates, eigenvalues, normality testing, and factor models.
Multivariate Statistics: Normal Distribution
Covers the multivariate normal distribution, properties, and sampling methods.