Blog Archives

Stan Weekly Roundup, 21 July 2017

July 21, 2017
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It was another productive week in Stan land. The big news is that Jonathan Auerbach, Tim Jones, Susanna Makela, Swupnil Sahai, and Robin Winstanley won first place in a New York City competition for predicting elementary school enrollment. Jonathan told me, “I heard 192 entered, and there were 5 finalists….Of course, we used Stan (RStan […] The post Stan Weekly Roundup, 21 July 2017 appeared first on Statistical Modeling, Causal…

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Animating a spinner using ggplot2 and ImageMagick

July 18, 2017
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Animating a spinner using ggplot2 and ImageMagick

It’s Sunday, and I [Bob] am just sitting on the couch peacefully ggplotting to illustrate basic sample spaces using spinners (a trick I’m borrowing from Jim Albert’s book Curve Ball). There’s an underlying continuous outcome (i.e., where the spinner lands) and a quantization into a number of regions to produce a discrete outcome (e.g., “success” […] The post Animating a spinner using ggplot2 and ImageMagick appeared first on Statistical Modeling,…

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Stan Weekly Roundup, 14 July 2017

July 14, 2017
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Another week, another bunch of Stan updates. Kevin Van Horn and Elea McDonnell Feit put together a tutorial on Stan [GitHub link] that covers linear regression, multinomial logistic regression, and hierarchical multinomial logistic regression. Andrew has been working on writing up our “workflow”. That includes Chapter 1, Verse 1 of Bayesian Data Analysis of (1) […] The post Stan Weekly Roundup, 14 July 2017 appeared first on Statistical Modeling, Causal…

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Stan Weekly Roundup, 7 July 2017

July 7, 2017
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Holiday weekend, schmoliday weekend. Ben Goodrich and Jonah Gabry shipped RStan 2.16.2 (their numbering is a little beyond base Stan, which is at 2.16.0). This reintroduces error reporting that got lost in the 2.15 refactor, so please upgrade if you want to debug your Stan programs! Joe Haupt translated the JAGS examples in the second […] The post Stan Weekly Roundup, 7 July 2017 appeared first on Statistical Modeling, Causal…

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Stan Weekly Roundup, 30 June 2017

June 30, 2017
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Stan Weekly Roundup, 30 June 2017

Here’s some things that have been going on with Stan since the last week’s roundup Stan® and the logo were granted a U.S. Trademark Registration No. 5,222,891 and a U.S. Serial Number: 87,237,369, respectively. Hard to feel special when there were millions of products ahead of you. Trademarked names are case insensitive and they required […] The post Stan Weekly Roundup, 30 June 2017 appeared first on Statistical Modeling, Causal…

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Stan®

June 25, 2017
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Stan®

Update: Usage guidelines See: Stan trademark usage guide. We basically just followed Apache’s lead. It’s official “Stan” is now a registered trademark. For those keeping score, it’s U.S. Trademark Registration No. 5,222,891 [USPTO] The Stan logo (see image below) is also official U.S. Trademark Serial No. #87,237,369 [USPTO] No idea why there are serial numbers […] The post Stan® appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Stan Weekly Roundup, 23 June 2017

June 23, 2017
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Lots of activity this week, as usual. * Lots of people got involved in pushing Stan 2.16 and interfaces out the door; Sean Talts got the math library, Stan library (that’s the language, inference algorithms, and interface infrastructure), and CmdStan out, while Allen Riddell got PyStan 2.16 out and Ben Goodrich and Jonah Gabry are […] The post Stan Weekly Roundup, 23 June 2017 appeared first on Statistical Modeling, Causal…

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Stan Weekly Roundup, 16 June 2017

June 16, 2017
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We’re going to be providing weekly updates for what’s going on behind the scenes with Stan. Of course, it’s not really behind the scenes, because the relevant discussions are at stan-dev GitHub organization: this is the home of all of our source repos; design discussions are on the Stan Wiki Stan Discourse Groups: this is […] The post Stan Weekly Roundup, 16 June 2017 appeared first on Statistical Modeling, Causal…

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Hello, world! Stan, PyMC3, and Edward

May 31, 2017
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Hello, world!  Stan, PyMC3, and Edward

Being a computer scientist, I like to see “Hello, world!” examples of programming languages. Here, I’m going to run down how Stan, PyMC3 and Edward tackle a simple linear regression problem with a couple of predictors. No, I’m not going to take sides—I’m on a fact-finding mission. We (the Stan development team) have been trying […] The post Hello, world! Stan, PyMC3, and Edward appeared first on Statistical Modeling, Causal…

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Design top down, Code bottom up

May 22, 2017
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Top-down design means designing from the client application programmer interface (API) down to the code. The API lays out a precise functional specification, which says what the code will do, not how it will do it. Coding bottom up means coding the lowest-level foundations first, testing them, then continuing to build. Sometimes this requires dropping […] The post Design top down, Code bottom up appeared first on Statistical Modeling, Causal…

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