Am 30.11.20 um 22:39 schrieb Enrique Castaneda:
In case I want to simply compare two models with unscaled discrete
covariates: one using a geometric distribution and one using a
binomial distribution. Can I perform model selection by simply
comparing their state.entropy() values?
Yes, in the
Hi Tiago,
yes, I mean edge-covariates. In the example you referenced you compare
state.entropy() for two distributions, i.e. exponential and
log-normal, where for the log-normal model the covariates were scaled,
which is handled by subtracting log(g.ep.weight.a).sum().
In case I want to simply
Am 30.11.20 um 10:29 schrieb kicasta:
Hi all,
I´d have a question regarding model selection with different distributions.
When we want to decide the partition that best describes the data for a
given distribution we go with that that gives the smallest entropy. However
say we want to compare 2
Hi all,
I´d have a question regarding model selection with different distributions.
When we want to decide the partition that best describes the data for a
given distribution we go with that that gives the smallest entropy. However
say we want to compare 2 different distributions d1 and d2 and
