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
Generalized inverse Gaussian distribution
Formal sciences
Statistics
Statistical inference
Bayesian statistics
Graph Chatbot
Related lectures (14)
Login to filter by course
Login to filter by course
Reset
Nonuniform Distributions: Generation Methods
Explores methods for generating nonuniform distributions, including the rejection method of von Neumann and the central limit theorem.
Exponential Family: Definition and Properties
Covers the Exponential Family, including its definition, sufficient statistics, and distribution properties.
Stochastic Models for Communications
Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.
Entropy and Sampling Theory
Explores entropy, minimally sufficient statistics, exponential families, and Gaussian sampling distributions.
Bayesian Inference: Gaussian Prior for Mean
Discusses Bayesian inference for the mean of a Gaussian distribution with known variance, covering posterior mean, variance, and MAP estimator.
Maximum Likelihood Estimation
Covers Maximum Likelihood Estimation in statistical inference, discussing MLE properties, examples, and uniqueness in exponential families.
Statistical Models: Families and Transformations
Explores statistical models, families of distributions, transformations, and their applications in probability theory.
Nonuniform Random Number Distributions: Examples and Methods
Explores nonuniform random number distributions, examples, methods, and generation techniques.
Continuous Random Variables: Distributions and Expectation
Explores various continuous probability distributions and expectation of random variables.
Families of Distributions: PDFs and CDFs
Explores PDFs and CDFs for discrete and continuous random variables, including Gaussian, uniform, and exponential distributions.
Statistical Estimation Methods
Covers statistical estimation methods, including maximum likelihood and Bayesian estimation.
Continuous Random Variables: Distributions and Examples
Explores continuous random variables, density functions, and distribution laws with practical examples.
Convergence of Random Variables
Explores independent and identically distributed random variables, convergence, and distribution properties.
Linear Discriminant Analysis: Generative Methods
Covers Linear Discriminant Analysis (LDA) as a generative method for classification.
Previous
Page 1 of 1
Next