Posts Tagged ‘ Statistical computing ’

JuliaCon 2015 (24–27 June, Boston-ish)

June 12, 2015
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JuliaCon 2015 (24–27 June, Boston-ish)

JuliaCon is coming to Cambridge, MA the geek capital of the East Coast: 24–27 June. Here’s the conference site with program. I (Bob) will be giving a 10 minute “lightning talk” on Stan.jl, the Julia interface to Stan (built by Rob J. Goedman — I’m just pinch hitting because Rob couldn’t make it). The uptake […] The post JuliaCon 2015 (24–27 June, Boston-ish) appeared first on Statistical Modeling, Causal Inference,…

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Cross-validation != magic

June 2, 2015
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In a post entitled “A subtle way to over-fit,” John Cook writes: If you train a model on a set of data, it should fit that data well. The hope, however, is that it will fit a new set of data well. So in machine learning and statistics, people split their data into two parts. […] The post Cross-validation != magic appeared first on Statistical Modeling, Causal Inference, and Social…

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New Alan Turing preprint on Arxiv!

May 19, 2015
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New Alan Turing preprint on Arxiv!

Dan Kahan writes: I know you are on 30-day delay, but since the blog version of you will be talking about Bayesian inference in couple of hours, you might like to look at paper by Turing, who is on 70-yr delay thanks to British declassification system, who addresses the utility of using likelihood ratios for […] The post New Alan Turing preprint on Arxiv! appeared first on Statistical Modeling, Causal…

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Bob Carpenter’s favorite books on GUI design and programming

May 18, 2015
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Bob writes: I would highly recommend two books that changed the way I thought about GUI design (though I’ve read a lot of them): * Jeff Johnson. GUI Bloopers. I read the first edition in book form and the second in draft form (the editor contacted me based on my enthusiastic Amazon feedback, which was […] The post Bob Carpenter’s favorite books on GUI design and programming appeared first on…

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A silly little error, of the sort that I make every day

April 10, 2015
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A silly little error, of the sort that I make every day

Ummmm, running Stan, testing out a new method we have that applies EP-like ideas to perform inference with aggregate data—it’s really cool, I’ll post more on it once we’ve tried everything out and have a paper that’s in better shape—anyway, I’m starting with a normal example, a varying-intercept, varying-slope model where the intercepts have population […] The post A silly little error, of the sort that I make every day…

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A silly little error, of the sort that I make every day

April 10, 2015
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A silly little error, of the sort that I make every day

Ummmm, running Stan, testing out a new method we have that applies EP-like ideas to perform inference with aggregate data—it’s really cool, I’ll post more on it once we’ve tried everything out and have a paper that’s in better shape—anyway, I’m starting with a normal example, a varying-intercept, varying-slope model where the intercepts have population […] The post A silly little error, of the sort that I make every day…

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Causal Impact from Google

March 8, 2015
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Bill Harris writes: Did you see http://blog.revolutionanalytics.com/2014/09/google-uses-r-to-calculate-roi-on-advertising-campaigns.html? Would that be something worth a joint post and discussion from you and Judea? I then wrote: Interesting. It seems to all depend on the choice of “control time series.” That said, it could still be a useful method. Bill replied: The good: Bayesian approaches made very approachable […] The post Causal Impact from Google appeared first on Statistical Modeling, Causal Inference, and…

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Interactive demonstrations for linear and Gaussian process regressions

March 7, 2015
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Interactive demonstrations for linear and Gaussian process regressions

Here’s a cool interactive demo of linear regression where you can grab the data points, move them around, and see the fitted regression line changing. There are various such apps around, but this one is particularly clean: (I’d like to credit the creator but I can’t find any attribution at the link, except that it’s […] The post Interactive demonstrations for linear and Gaussian process regressions appeared first on Statistical…

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Defaults, once set, are hard to change.

March 5, 2015
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So. Farewell then Rainbow color scheme. You reigned in Matlab Far too long. But now that You are no longer The default, Will we miss you? We can only Visualize. E. T. Thribb (17 1/2) Here’s the background.  Brad Stiritz writes: I know you’re a creator and big proponent of open-source tools. Given your strong interest […] The post Defaults, once set, are hard to change. appeared first on Statistical Modeling,…

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My talk tomorrow (Thurs) at MIT political science: Recent challenges and developments in Bayesian modeling and computation (from a political and social science perspective)

March 4, 2015
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It’s 1pm in room E53-482. I’ll talk about the usual stuff (and some of this too, I guess). The post My talk tomorrow (Thurs) at MIT political science: Recent challenges and developments in Bayesian modeling and computation (from a politica...

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