Monte Carlo, Markov Chains, Metropolis Hastings.
likelihood distribution. In this case, the prior distribution is Beta(1,1) and the likelihood distribution is Binomial(k, n, θ), then we can obtain the posterior distribution is Beta(1+k, 1+(n-k)). That’s all for the MCMC and MH :) Hope you enjoyed reading :) Reference Special thanks to Youtube —