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
Copulas: Dependence Structures and Simulation
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Elements of Statistics: Probability and Random Variables
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Copulas: Modeling Dependence in Financial Engineering
Explores the fundamentals of copulas and their role in modeling dependence in financial engineering.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Elements of Statistics
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Continuous Random Variables
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Probability Models: Fundamentals
Introduces the basics of probability models, covering random variables, distributions, and statistical estimation.
Principal Component Analysis: Introduction
Introduces Principal Component Analysis, focusing on maximizing variance in linear combinations to summarize data effectively.
Probability and Stochastic Processes: Fundamentals and Applications
Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.
Quantitative Risk Management: Copulas and Generative Adversarial Networks
Explores copulas, simulation algorithms, fitting data with rank correlations, and GANs for image generation.
Joint Distributions
Explores joint distributions, marginal laws, covariance, correlation, and variance properties.