The basic idea is to construct a likelihood function that represents the probability of observing the given data under different parameter values. The method then involves finding the parameter values that maximize this function. Mathematically, if we have data D and a model with parameters θ, the likelihood function is L(θ|D). The goal is to find the parameter values that maximize this function.
