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IEE 475: Lecture G3 (2025-10-23) Input Modeling, Part 3 (Parameter Estimation and Goodness of Fit)
Maximum Likelihood Estimation (MLE): The Intuition
Parametric Model Estimation for Machine Learning | Explained with Example
W9_L8: Parameter estimation: finding MME & ML estimators
A New Approach for Parameter Estimation in Complex Epidemiological Models | Chris Pooley (BioSS)
Lecture 21 — Probabilistic Topic Models Mixture Model Estimation - Part 1 | UIUC
Lecture 17 — Probabilistic Topic Models Overview of Statistical Language Models - Part 1 | UIUC
Lecture 1 Part 3 - Asymptotics for Maximum Likelihood Estimation
IEE 475: Lecture G3 (2022-10-20): Input Modeling, Part 3 (Parameter Estimation and Goodness of Fit)
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Last Updated: August 15, 2026
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