Machine Learning, Signal Processing, Bayesian Statistics, Editors Pick, Getting Started.
event. Furthermore, the frequentists assume the parameter θ in a population is fixed and unknown. They only use data to construct the likelihood function to estimate the unknown parameter. Bayesians, on the other hand, consider the parameter θ to be a random variable with an unknown distribution.