Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the
parameters of a statistical model by maximizing the likelihood function. It is a widely used
approach in quantitative finance and other fields of statistics, including parameter estimation
in asset pricing models, option pricing models, risk management models, and econometric
models. It allows for data-driven estimation of model parameters, enabling statistical inference,
hypothesis testing, and predictive analysis.