how does pymc differ from mcmc why is pymc different from mcmc? why is specifying the distribution of the data different from specifying the distribution of the data itself? how many mcmc points in normal model why is specifying the distribution of the data different from specifying the data itself? why is pymc based on data why is data in pymc different from measurement why is specifying the distribution different from specifying the data itself? why is specifying the distribution of the data different from specifying the data itself pymc model how many data points why is pymc better than the standard data pymc definition data why is specifying the distribution of the data different from specifying the distribution of the data itself? why is specifying the distribution different? what is the difference between the data of pymc and its distribution why is mcmc a deterministic function? why is phi a useful deterministic function of phi why is specifying the distribution of the data different from specifying the distribution of data itself? why is specifying the distribution of the data different from specifying the distribution of the data itself? how to specify a nonlinear distribution