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
Geometric distribution
Formal sciences
Statistics
Statistical inference
Mathematical statistics
Graph Chatbot
Related lectures (31)
Login to filter by course
Login to filter by course
Reset
Central Limit Theorem: Characteristic Functions
Explores an alternative proof of the Central Limit Theorem using characteristic functions to show the emergence of the Gaussian distribution.
Inference Problems & Spin Glass Game
Covers inference problems related to the Spin Glass Game and the challenges of making mistakes with preb P.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Convergence of Random Variables
Explores independent and identically distributed random variables, convergence, and distribution properties.
Maximum Likelihood Estimation: Theory and Examples
Covers maximum likelihood estimation, including the Rao-Blackwell Theorem proof and practical examples of deriving estimators.
Probability and Statistics
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Geometric Series: Properties and Applications
Explores the properties and applications of geometric series, including logarithmic functions and theorems related to area under curves.
Coulomb's Law: Charges and Forces
Explores Coulomb's Law, charges interaction, forces, superposition principle, and linear case calculations.
Law of Large Numbers: Strong Convergence
Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
Statistical Justification of Least Squares
Explores the statistical justification of Least Squares and Generalized Linear Models.
Estimation: Measures of Performance
Explores estimation measures of performance, including the Cramér-Rao bound and maximum likelihood estimation.
Previous
Page 2 of 2
Next