On 06/10/15 00:35, josef.p...@gmail.com wrote: > rate in the sense of proportion is between zero and 1.
Rate usually refers to "events per unit of time or exposure", so we can either count events in intervals or record time-stamps as our dependent variable. If the stochastic counting process is memoryless we have a Poisson process. Poisson regression can often be used to model this type of data. Rate in the sense of proportion between 0 and 1 is not really a rate. But sure, there are many ways to model such data, including assuming a beta distribution for the proportion. Sturla ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
