Alex Williams

For exponential families the MLE corresponds the choice of parameter such that the expected sufficient statistics equal the observed sufficient statistics. https://stats.stackexchange.com/questions/111759/exponential-family-observed-vs-expected-sufficient-statistics This works out nicely for the case of...

As long as one of the sufficient statistics is the identity `t(x) = x` you will have that the mean of the distribution given by the MLE equals the empirical...

I agree with Memming's take. Maybe we could even remove the simulate feature. On Fri, Nov 17, 2023, 6:58 AM Edoardo Balzani ***@***.***> wrote: > Discussed the issue with Memming:...

We should also include [Bernstein Polynomial Basis Functions](https://en.wikipedia.org/wiki/Bernstein_polynomial)

You could consider using this -- https://github.com/svaksha/Julia.jl

> The `transform` should, I think, take in nothing, and output the center. I think we need at least three (maybe four) verbs here: - `transform` should produce the _exact_...

> I would prefer the default match notation (observations in rows), but I could be convinced otherwise. +1, though I could also be convinced otherwise.

One more thought. If we are really going the Bayes Net route, we should talk with @sisl and maybe sync up with their [BayesNets.jl](https://github.com/sisl/BayesNets.jl) package. cc: @tawheeler

One thing I'm curious about is whether we can use the same set of abstractions to specify a computation graph as well as a generative model (more or less as...

I voted for "Transform" over "Transformation" a while back because it is shorter and (to me) is synonymous. On Aug 6, 2016 10:30 AM, "Christof Stocker" [email protected] wrote: > Should...