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
Importance Sampling: Change of Variable
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Max Entropy and Monte Carlo
Explores max entropy, Shannon's entropy, Lagrange multipliers, and Monte Carlo sampling techniques.
Probability and Statistics
Covers probability distributions, moments, and continuous random variables.
Nonuniform Random Number Distributions: Examples and Methods
Explores nonuniform random number distributions, examples, methods, and generation techniques.
Statistical Inference: Random Variables
Covers random variables, probability functions, expectations, variances, and joint distributions.
Estimation and Confidence Intervals
Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.
Probability Distributions: Central Limit Theorem and Applications
Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.
Probability and Statistics
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Spatial Dependence: Autocorrelation and Analysis
Introduces spatial dependence, the paradox of classical statistics, and the bias in linear regression.
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.
Common Distributions: Moment Generating Functions
Explores common probability distributions, special distributions, and entropy concepts.