why does the model of metropolitanis have so many nodes which method best handles flat likelihood what kind of model is a mcmc? why is there a flat likelihood model in mcmc which sampler is capable of predicting the likelihood of a flat distribution? what is mcmc's function what is mcmc for mcmc to handle flat likelihood problems what kind of model does metropolis has can mcmc handle flat likelihood which sampler can handle flat likelihood mcmc probability mcmc to handle flat likelihood problems how to handle flat likelihood problem in metropolis-havings which sampler cannot handle flat likelihood which model is a sampler that cannot detect motion of a Markov chain which sampler can't handle flat likelihood what is mcmc what is the probability of a discrete matrix sampling method which of the following models do not produce a smooth, linear, or exponential joint distribution?