Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Acceptance-Rejection Methods: Advanced Techniques
Graph Chatbot
Related lectures (34)
Elements of Statistics
Log in to Mediaspace to watch this video
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Probability Distributions: Central Limit Theorem and Applications
Log in to Mediaspace to watch this video
Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.
Central Limit Theorem: Properties and Applications
Log in to Mediaspace to watch this video
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Probability and Statistics
Log in to Mediaspace to watch this video
Explores joint random variables, conditional density, and independence in probability and statistics.
Estimators and Confidence Intervals
Log in to Mediaspace to watch this video
Explores bias, variance, unbiased estimators, and confidence intervals in statistical estimation.
Acceptance-Rejection Methods: Advanced Techniques
Log in to Mediaspace to watch this video
Explores advanced techniques in acceptance-rejection methods and sampling from normal distributions.
Basics of Risk Analysis and Management
Log in to Mediaspace to watch this video
Introduces the basics of risk analysis and management in civil engineering, covering distributions, statistical reminders, and mathematical interpretation techniques.
Normal Distribution: Characteristics and Examples
Log in to Mediaspace to watch this video
Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.
Elements of Statistics: Probability and Random Variables
Log in to Mediaspace to watch this video
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Statistical Analysis: Boxplot and Normal Distribution
Log in to Mediaspace to watch this video
Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Elements of Statistics: Exercises
Log in to Mediaspace to watch this video
Covers exercises on Bayes' Theorem, moment generating functions, photon counts, disease probabilities, and distribution properties.
Extreme Value Analysis: Applications and Consequences
Log in to Mediaspace to watch this video
Explores extremal limit theorems and statistical analysis for analyzing extreme events like Venezuela rainfall and Venice data.
Estimating R: Theory of Poisson Processes
Log in to Mediaspace to watch this video
Covers the theory of Poisson processes and the estimation of the intensity parameter R.
Conditional Probability: Total Probabilities
Log in to Mediaspace to watch this video
Explores conditional and total probabilities, including the practical application of Bayes theorem.
Previous
Page 2 of 2
Next