Mark S. Handcock

icon indicating a website link https://faculty.stat.ucla.edu/handcock icon indicating an email [email protected]

icon company University of California - Los Angeles icon location Los Angeles icon location Distinguished Professor of Statistics, UCLA

Results 6 comments of Mark S. Handcock

This is a transference of the ergm-private" "control_llik" branch to the public version ergm 4.0.

To make life easy, I created a branch of ergm 4.0 and manually made the edits from the private "control_llik" branch. As it turned out it was necessary as ergm...

Adaptive MCMC, especially with complex models, spends a lot of time calculating the ACF.

I'd suggest replacing the acf() call with a Fast Fourier Transform based computation. You could, in addition, subsample the sample with, e.g., lag 10 as well and only use those...

gw*() terms no longer actually need fixed= parameter.

Hi Pavel: i like you original suggestion. The curving is used less often and so the simpler notation is helpful to new users. It will mean older code will be...

Penalization option for likelihood function?

Hi Dylan, An alternative is to try fitting a tapered ERGM model. This has a similar "penalized" aspect to it, although the tapered ERGM is a different model than the...

Penalization option for likelihood function?

Hi Dylan, The `simulate` command will work as usual, as the model is (ultimately) an ERGM. It will just simulate from the tapered ERGM model. Separately, if you have partial...

Penalization option for likelihood function?

If you are fitting complete/full networks, then you can skip step 3. It is there if you fit the tapered ERGM to an incomplete network (directly).