which method would be best to use to produce discrete kernel density estimates what is the purpose of the kde which method is used to generate kernel density estimators? is kernel density estimator naive or discrete why use continuous kernel density estimator what is the optimal number of iterations of the mc routine is corel density discrete how to do a continuous kernel density estimate how to calculate kernel density what is the kde procedure mc code for kernel density estimate how to generate kernel density estimator code why use kde for ties what is the best approach to using discrete kernel density estimation in monte carlo which technique is best to use kernel density estimate in a discrete kde? why are kernel density estimations performed in the kde how long to use kernel density estimator how to estimate kernel density can you use discrete kernel density for titling? is there a discrete kernel density estimation?