Maximum Likelihood Estimation Courses and Certifications

Steve Brunton

Maximum Likelihood Estimation with Examples

Discover Maximum Likelihood Estimation fundamentals through clear derivations and Poisson distribution examples, building foundation for Bayesian MAP estimation in statistical modeling.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Steve Brunton

Maximum Likelihood Estimation Example - Fitting a Normal Distribution with Data

Master maximum likelihood estimation by fitting normal distributions to data through joint PDFs, log-likelihood calculations, and parameter optimization for mu and sigma.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Steve Brunton

Properties of Maximum Likelihood Estimation

Explore key properties of Maximum Likelihood Estimation including consistency, normality, asymptotic efficiency, and the Cramer-Rao inequality in this statistical analysis.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Fields Institute

Invariant Theory for Maximum Likelihood Estimation

Explore connections between maximum likelihood estimation and invariant theory stability in log-linear and Gaussian group models, with applications to statistical modeling.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Harvard CMSA

Invariant Theory for Maximum Likelihood Estimation

Explore the mathematical connections between invariant theory and maximum likelihood estimation, focusing on log-linear models, polytopes, and scaling algorithms in statistical analysis.

• YouTube
• 41 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Point Estimation - Method of Maximum Likelihood Estimation - Part 3

Delve into the continuation of Maximum Likelihood Estimation methods in this advanced statistical analysis lecture.

• YouTube
• 36 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Maximum Likelihood Estimate for Logistic Regression

Explore maximum likelihood estimation for logistic regression, covering likelihood functions and gradient descent techniques.

• YouTube
• 10 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

EM Algorithm - Part 2

Delve into the second part of the Expectation-Maximization (EM) algorithm, continuing the exploration of this statistical method for finding maximum likelihood estimates.

• YouTube
• 16 minutes
• On-Demand
• Free Video

UofU Data Science

Bayes' Rule and Maximum Likelihood Estimates - Foundations of Data Analysis

Dive into Bayes' Rule and maximum likelihood estimation through practical examples including cracked windshields and normal noise models to understand data-driven probability.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Steve Brunton

Bayesian Maximum A Posteriori Estimation - Extending Maximum Likelihood Estimation

Discover Bayesian Maximum A Posteriori Estimation, extending MLE with prior information for robust parameter estimation when data is sparse or expensive.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Fields Institute

On Quantum and Quantum-Inspired Maximum Likelihood Estimation and Filtering of Stochastic Volatility Models

Explore quantum and quantum-inspired maximum likelihood estimation techniques for stochastic volatility models in financial applications.

• YouTube
• 56 minutes
• On-Demand
• Free Video

JuliaHub

Control of Rotary Pendulum - Parameter Estimation Using Maximum-Likelihood - Part 5

Dive into maximum-likelihood estimation for rotary pendulum control using unscented Kalman filters and gradient-based optimization with automatic differentiation in Julia.

• YouTube
• 15 minutes
• On-Demand
• Free Video

UofU Data Science

Maximum Likelihood Estimation for Regression in Machine Learning - Lecture 24

Dive into maximum likelihood estimation for regression through practical examples and explore its connection to loss minimization in Bayesian learning frameworks.

• YouTube
• 37 minutes
• On-Demand
• Free Video

UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

statisticsmatt

Maximum Likelihood Estimation

Comprehensive exploration of Maximum Likelihood Estimation across various probability distributions, including practical applications using R for data generation and parameter estimation.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video