Here’s the roundup for this past week.

**Michael Betancourt**added case studies for methodology in both Python and R, based on the work he did getting the ML meetup together:**Michael Betancourt**, along with**Mitzi Morris**,**Sean Talts**, and**Jonah Gabry**taught the women in ML workshop at Viacom in NYC and there were 60 attendees working their way up from simple linear regression, through Poisson regression to GPs.**Ben Goodrich**has been working on new R^2 analyses and priors, as well as the usual maintenance on RStan and RStanArm.**Aki Vehtari**was at the summer school in Valencia teaching Stan.**Aki**has also been kicking off planning for StanCon in Helsinki 2019. Can’t believe we’re planning that far ahead!**Sebastian Weber**was in Helsinki giving a talk on Stan, but there weren’t many Bayesians there to get excited about Stan; he’s otherwise been working with Aki on variable selection.**Imad Ali**is finishing up the spatial models in RStanArm and moving on to new classes of models (we all know his goal is to model basketball, which is a very spatially continuous game!).**Ben Bales**has been working on generic append array funcitons and vectorizing random number geneators. We learned his day job was teaching robotics with lego to mechanical engineering students!**Charles Margossian**is finishing up the algebraic solvers (very involved autodiff issues there, as with the ODE solvers) and wrapping up a final release of Torsten before he moves to Columbia to start the Ph.D. program in stats. He’s also writing the mixed solver paper with feedback from Michael Betancourt and Bill Gillespie.**Mitzi Morris**added runtime warning messages for problems arising in declarations, which inadvertently fixed another bug arising for declarations with sizes for which constraints couldn’t be satisfied (as in size zero simplexes).**Miguel Benito**, along with**Mitzi Morris**and**Dan Simpson**, with input from Michael Betancourt and Andrew Gelman, now have spatial models with matching results across GeoBUGS, INLA, and Stan. They further worked on better priors for Stan so that it’s now competitive in fitting; turns out the negative effect of the sum-to-zero constraint on the spatial random effects had a greater negative effect on the geometry than a positive effect on identifiability.**Michael Andreae**resubmitted papers with Ben Goodrich and Jonah Gabry and is working on some funding prospects.**Sean Talts**(with help from**Daniel Lee**) has most of the C++11/C++14 dev ops in place so we’ll be able to start using all those cool toys.**Sean Talts**and**Michael Betancourt**with some help from Mitzi Morris, have been doing large-scale Cook-Gelman-Rubin evaluations for simple and hierarchical models and finding some surprising results (being discussed on Discourse). My money’s on them getting to the bottom of what’s going on soon; Dan Simpson’s jumping in to help out on diagnostics, in the same thread on Discourse.**Aki Vehtari**reports that Amazon UK (with Neil Lawrence and crew) are using Stan, so we expect to see some more GP activity at some point.- We spent a long time discussing how to solve the multiple translation unit problems. It looks at first glance like Eigen just inlines every function and that may also work for us (if a function is declared inline, it may be defined in multiple translation units).
**Solène Desmée**, along with**France Mentré**and others have been fitting time-to-event models in Stan and have a new open-access publication, Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer. You may remember France as the host of last year’s PK/PD Stan conference in Paris.

Regarding the second item above: As David Owen observed in his article about the meeting of meeting planners, “any given convention there is only one attendee, the convention itself, while the people in attendance are attenders.”

Regarding the last item: If you’re gonna say “Solène Desmée,” you should say “France Mentré.”

I don’t know who David Owen is, but “attendee” has the same problems as “inflammable”—both words drifted against the language’s own morphology. Language does that, no matter how strongly the language curmudgeons try to push last year’s dictionary and grammar books.

I did fix France’s name.

Bob:

I had a feeling you’d push back on this, so let me explain that I am not bothered by the use of “attendee” in this way, I just find the illogic amusing. I expect Owen felt the same way, he was just amused by the way the language had drifted in this way.

You write:

“Miguel Benito, along with Mitzi Morris and Dan Simpson, with input from Michael Betancourt and Andrew Gelman, now have spatial models with matching results across GeoBUGS, INLA, and Stan. “

Is this available anywhere?

Thanks

So far, it’s only on a branch. Mitzi should have it finished soon, but if you want it before then, all the code’s here:

https://github.com/stan-dev/example-models/tree/car-iar-poisson-edits-mitzi

Thanks for the link.

Write-up is finished and up on the Stan case studies web page: http://mc-stan.org/users/documentation/case-studies/icar_stan.html

Writeup and code have been merged into master branch of the stan-dev/example-models repo: https://github.com/stan-dev/example-models/tree/master/knitr/car-iar-poisson

Glad to hear StanCon 2019 will be in Helsinki. This is on the right side of the Atlantic for me, so maybe I can finally attend.