Stan courses: Alaska in August, Paris in September

I’m teaching two Stan short courses in the next month. We’ve been getting requests to teach these courses more frequently and it’s always good to introduce more people to Stan.

Anchorage. 8/23-24

This is a two-day short course organized by the Alaska chapter of the ASA. I’ll cover Stan and RStan with a slight focus on wildlife examples. For information and registration: ASA Alaska Chapter

Paris. 9/19-21

Me, Michael, and Bob are teaching a three-day short course on Stan with a focus on phamacometrics. Over the past two years, we’ve really extended Stan’s capabilities and now we’re able to specify models with ordinary differential equations (ODE) in the Stan language. Using an ODE to specify the model is still slower than an analytic solution, but it does allow users to write general compartment models more naturally in the Stan language.

A lot of this work has been inspired and done by our collaborator Sebastian Weber at Novartis Pharma. He’s really driving a lot of the insights, code, and capabilities.

There’s still time to register for the course.

Paris. 9/22

In addition to the short course, there’s a workshop on Bayesian Pharamcometric models. This one’s free! Register.

If you’re going to be at any of these events and want to talk, please reach out. I’m always happy talking Stan or stats in general.

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DJing on Wednesday, 7/13, at DTUT

I’m back at DTUT on Wednesday. Here’s the Facebook event. I’ll be spinning funk and random stuff.

And in case you missed the last one, here’s what it sounded like.

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Live from DTUT. 6/15.

On Wednesday, I brought out my QFO LE and set up at my local coffeeshop, DTUT, on the Upper East Side. This mix was recorded live from 8 - 10 pm while drinking some whiskey.

I played mostly funk and soul. I had a lot of fun with it.

P.S. I think this is the first mix of mine that’s floating around the interwebs. It’s a shame cause this one’s pretty sloppy. Some techincal reasons for that, but really – I’m out of practice.

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Iterating over Statistical Models: NCAA Edition.


On Saturday, April 9, I spoke at the New York R Conference. The slides from my talk are available: 2016-04-ny-r-conference.pdf. Video was recorded and will be posted soon.

My Talk

Naturally, I talked about Stan. The point I wanted to get across was that statsitical modeling should be treated as a discipline. On the stan-users list and what I know to be common practice, I see people embedding statistical models within scripts. This makes it hard to collaborate and the software world has figured this out with tools like git.

We collaborate all the time. For the statistical models built for the Machine Madness Kaggle competition, we built models, checked them in, discussed them. If Rob Trangucci wasn’t around, we woudln’t have competed this year.

The Conference

Jared Lander, Jessica Lin, and the two crews from Lander Analytics and Work-Bench did a great job of organizing the conference. Each speaker was given 20 minutes to talk; no questions. It ran pretty smoothly and I picked up a lot of information about R’s development.

For me, highlights included:

  • JJ’s talk on RStudio’s new features and
  • Alp’s talk on ADVI
  • Andrew’s talk on social penumbras
  • Drew’s talk on social aspects of data science
  • Vivian’s talk about evoking emotions through data
  • Bas’s talk on program analysis
  • Josh’s talk on building packages for use at New York Times

A recurring theme this year was testing, which is a big step in the right direction.

For a running commentary of the conference, see #rstatsnyc on twitter.


If you have questions about my talk, feel free to reach out.

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Rent Party. 3/25.

Rent Party. 3/25. Broadway Dive

It’s been a while since I’ve had a gig. Been a little preoccupied with Stan, moving, a renovation, and a whole slew of other things. DJ Dalkesh asked me to do a guest spot at his monthly Rent Party at Broadway Dive on the Upper West Side.

Funk, soul, and hip hop all night. (good thing too… I don’t have the chops any more to do anything else.) Come through. It’ll be fun.

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