What is Maximum Likelihood Estimation?
Updated May 17, 2026
Short answer
MLE estimates parameters by maximizing observed data likelihood.
Deep explanation
Logistic Regression coefficients are optimized by maximizing the probability of observed labels.
Real-world example
Used in statistical risk modeling.
Common mistakes
- Confusing MLE with least squares.
Follow-up questions
- Why use log likelihood?
- How is optimization performed?