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Archive of posts filed under the Teaching category.

Skepticism about a published claim regarding income inequality and happiness

Frank de Libero writes: I read your Chance article (disproving that no one reads Chance!) re communicating about flawed psychological research. And I know from your other writings of your continuing good fight against misleading quantitative work. I think you and your students might be interested on my recent critique of a 2011 paper published […]

Stan World Cup update

The other day I fit a simple model to estimate team abilities from World Cup outcomes. I fit the model to the signed square roots of the score differentials, using the square root on the theory that when the game is less close, it becomes more variable. 0. Background As you might recall, the estimated […]

Stan London Meetup 16 July

Michael Betancourt announces: The Stan Development Team is happy to announce the first Stan London Meetup, Wednesday, July 16th, 6-8 PM Bentham House, Seminar Room 4 4-8 Endsleigh Gardens, London, WC1H 0EG Nominally the plan is to begin with a casual introduction to Stan and then break out into discussion based on the interests of […]

Stan hands-on introduction in NYC Tues 24 Jun 7pm

Ben Goodrich, one of the Stan developers, will be leading the session. Bring a laptop, if that’s what you’re working on. We’ll cover: • installation of CmdStan, RStan, and possibly PyStan (if we can find an expert) • work through parts of the Stan language through a few models Signup information is here. Anyone who’s […]

Hurricanes/himmicanes extra: Again with the problematic nature of the scientific publication process

Jeremy Freese has the story. To me, the sad thing is not that people who don’t understand statistics are doing research. After all, statistics is hard, and to require statistical understanding of all quantitative researchers would be impossible to enforce in any case. Indeed, if anything, one of the goals of the statistical profession is […]

He’s not so great in math but wants to do statistics and machine learning

I received the following email from someone who wishes to remain anonymous: I am a longtime reader of your blog and it, along with other factors that I will explain briefly, has motivated to pursue a second masters degree in statistics and machine learning. The problem is, my math isn’t great. I understand statistics and […]

Statistically savvy journalism

Roy Mendelssohn points me to this excellent bit of statistics reporting by Matt Novak. I have no comment, I just think it’s good to see this sort of high-quality Felix Salmon-style statistically savvy journalism.

Why we hate stepwise regression

Haynes Goddard writes: I have been slowly working my way through the grad program in stats here, and the latest course was a biostats course on categorical and survival analysis. I noticed in the semi-parametric and parametric material (Wang and Lee is the text) that they use stepwise regression a lot. I learned in econometrics […]

An interesting mosaic of a data programming course

Rajit Dasgupta writes: I have been working on a website, SlideRule that in its present state, is a catalog of online courses aggregated from over 35 providers. One of the products we are building on top of this is something called Learning Paths, which are essentially a sequence of Online Courses designed to help learners […]

Stan (& JAGS) Tutorial on Linear Mixed Models

Shravan Vasishth sent me an earlier draft of this tutorial he co-authored with Tanner Sorensen. I liked it, asked if I could blog about it, and in response, they’ve put together a convenient web page with links to the tutorial PDF, JAGS and Stan programs, and data: Fitting linear mixed models using JAGS and Stan: […]