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
Estimation theory
Graph Chatbot
Related lectures (32)
Login to filter by course
Login to filter by course
Reset
Previous
Page 2 of 4
Next
Parameter Estimation
Introduces statistical inference concepts, focusing on parameter estimation, unbiased estimators, and mean estimation using independent random variables.
Estimation Example: Least Square Estimation
Covers the concept of least square estimation and its real-world applications.
Maximum Likelihood Theory & Applications
Covers maximum likelihood theory, applications, and hypothesis testing principles in econometrics.
Sampling Distributions: Estimation
Explores sampling distributions, estimation methods, and consistency in parameter estimation.
Sampling: maximum likelihood estimation
Explores sampling in maximum likelihood estimation and its implications on the joint probability and likelihood contribution.
Statistical Theory: Fundamentals
Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.
Maximum Likelihood Estimation: Properties and Consistency
Explores Maximum Likelihood Estimation properties, consistency, and applications in statistical inference.
Estimation & Bayesian Inference
Covers demousing, estimation, Bayesian inference, likelihood, AWGN, and more.
Bayes Estimator, Simulated Annealing and EM
Covers Bayes estimator, Simulated Annealing, and EM for parameter estimation.
Estimation: Linear Estimator
Explores linear estimation, optimal criteria, and the orthogonality principle for good choices in estimation.
