Mathematical Biology
The likelihood function is a fundamental concept in statistics that represents the probability of observing the given data under different parameter values of a statistical model. It plays a critical role in estimating parameters, particularly in methods like maximum likelihood estimation, where the goal is to find the parameter values that maximize this likelihood function. In Bayesian inference, the likelihood function is used to update prior beliefs about parameters in light of new data, working alongside prior distributions to derive posterior distributions.
congrats on reading the definition of Likelihood Function. now let's actually learn it.