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
Taylor expansions for the moments of functions of random variables
Formal sciences
Mathematics
Probability theory
Topics in probability theory
Graph Chatbot
Related lectures (11)
Login to filter by course
Login to filter by course
Reset
Random Vectors & Distribution Functions
Covers random vectors, joint distribution, conditional density functions, independence, covariance, correlation, and conditional expectation.
Random Walks on Discrete Spaces
Explores random walks on discrete spaces and their properties, including multivariate random variables and Poisson distributions.
Martingales and Brownian Motion Construction
Explores the construction of Brownian motion with continuous trajectories and the dimension of its zero set.
Martingales and Brownian Motion: Construction and Properties
Explores the construction and properties of a Brownian motion with continuous trajectories using Paul Lévy's method.
Acceptance-Rejection Methods: Advanced Techniques
Explores advanced Acceptance-Rejection methods, sampling from normal distribution, and multivariate random variable generation.
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.
Multivariate Random Variables
Covers multivariate random variables, joint Gaussian variables, and convergence of random variables.
Dependence in Random Vectors
Explores dependence in random vectors, covering joint density, conditional independence, covariance, and moment generating functions.
Multivariate Random Variables
Explores multivariate random variables, joint Gaussian variables, convergence, and the central limit theorem.
Characterization of Stochastic Processes: Theory and Applications
Covers the characterization of stochastic processes, focusing on their mathematical foundations and real-world applications.
Applications of Quantum Science: Densities and Statistics
Covers the applications of densities and statistics in quantum science, focusing on binomial and Poisson distributions.
Previous
Page 1 of 1
Next