 Likelihood function

For observed data $x$, the likelihood function is the joint probability mass or density $p_{\theta }(x)$ regarded as a function of the model parameter $\theta$.

The likelihood function is a fundamental concept in statistical inference and is used to estimate parameters of a statistical model. It measures the probability of observing the given data under different parameter values of the model.