Aki prepared these slides which cover a series of topics, starting with notebooks, open code, and reproducibility of code in R and Stan; then simulation-based calibration of algorithms; then model averaging and prediction. Lots to think about here: t…

## Asteroids named after mathematicians

This evening I stumbled on the fact that John von Neumann and Fibonacci both have asteroids named after them. Then I wondered how many more famous mathematicians have asteroids named after them. As it turns out, most of them. I wrote a little script to search for the 100 greatest mathematicians (according to James Allen’s […]

## How Data Scientists Think – A Mini Case Study

In episode 71 of Not So Standard Deviations, Hilary Parker and I inaugurated our first “Data Science Design Challenge” segment where we discussed how we would solve a given problem using data science. The idea with calling it a “design challenge” was…

## a book and three chapters on ABC

In connection with our handbook on mixtures being published, here are three chapters I contributed to from the Handbook of ABC, edited by Scott Sisson, Yanan Fan, and Mark Beaumont: 6. Likelihood-free Model Choice, by J.-M. Marin, P. Pudlo, A. Estoup and C.P. Robert 12. Approximating the Likelihood in ABC, by C. C. Drovandi, C. […]

## Philip Roth (4) vs. DJ Jazzy Jeff; Jim Thorpe advances

For yesterday’s battle (Jim Thorpe vs. John Oliver), I’ll have to go with Thorpe. We got a couple arguments in Oliver’s favor—we’d get to hear him say “Whot?”, and he’s English—but for Thorpe we heard a lot more, including his uniqueness as greatest athlete of all time, and that we could save money on the […]

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## Philip Roth (4) vs. DJ Jazzy Jeff; Jim Thorpe advances

For yesterday’s battle (Jim Thorpe vs. John Oliver), I’ll have to go with Thorpe. We got a couple arguments in Oliver’s favor—we’d get to hear him say “Whot?”, and he’s English—but for Thorpe we heard a lot more, including his uniqueness as greatest athlete of all time, and that we could save money on the […]

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## A Beautiful 2 by 2 Matrix Identity

While working on a variation of the RcppDynProg algorithm we derived the following beautiful identity of 2 by 2 real matrices: The superscript “top” denoting the transpose operation, the ||.||^2_2 denoting sum of squares norm, and the single |.| denoting determinant. This is derived from one of the check equations for the Moore–Penrose inverse and … Continue reading A Beautiful 2 by 2 Matrix Identity

## “The Book of Why” by Pearl and Mackenzie

Judea Pearl and Dana Mackenzie sent me a copy of their new book, “The book of why: The new science of cause and effect.” There are some things I don’t like about their book, and I’ll get to that, but I want to start with a central point of theirs with which I agree strongly. […]

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## “The Book of Why” by Pearl and Mackenzie

Judea Pearl and Dana Mackenzie sent me a copy of their new book, “The book of why: The new science of cause and effect.” There are some things I don’t like about their book, and I’ll get to that, but I want to start with a central point of theirs with which I agree strongly. […]

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## Why are dates of service on HIPAA’s Safe Harbor list?

The HIPAA Privacy Rule offers two ways to say that data has been de-identified: Safe Harbor and expert determination. This post is about the former. I help companies with the latter. Safe Harbor provision The Safe Harbor provision lists 18 categories of data that would cause a data set to not be considered de-identified unless […]

## Did she really live 122 years?

Even more famous than “the Japanese dude who won the hot dog eating contest” is “the French lady who lived to be 122 years old.” But did she really? Paul Campos points us to this post, where he writes: Here’s a statistical series, laying out various points along the 100 longest known durations of a […]

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## Did she really live 122 years?

Even more famous than “the Japanese dude who won the hot dog eating contest” is “the French lady who lived to be 122 years old.” But did she really? Paul Campos writes: Here’s a statistical series, laying out various points along the 100 longest known durations of a particular event, of which there are billions […]

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## The seminar speaker contest begins: Jim Thorpe (1) vs. John Oliver

As promised, we’ll be having one contest a day for our Ultimate Seminar Speaker contest, first going through the first round of our bracket, then going through round 2, etc., through to the finals. Here’s the bracket: And now we begin! The first matchup is Jim Thorpe, seeded #1 in the GOATs category, vs. John […]

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## The seminar speaker contest begins: Jim Thorpe (1) vs. John Oliver

As promised, we’ll be having one contest a day for our Ultimate Seminar Speaker contest, first going through the first round of our bracket, then going through round 2, etc., through to the finals. Here’s the bracket: And now we begin! The first matchup is Jim Thorpe, seeded #1 in the GOATs category, vs. John […]

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## On deck for the first half of 2019

OK, this is what we’ve got for you: “The Book of Why” by Pearl and Mackenzie Reproducibility and Stan MRP (multilevel regression and poststratification; Mister P): Clearing up misunderstandings about Becker on Bohm on the important role of stories in science This is one offer I can refuse How post-hoc power calculation is like a […]

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## On deck for the first half of 2019

OK, this is what we’ve got for you: “The Book of Why” by Pearl and Mackenzie Reproducibility and Stan MRP (multilevel regression and poststratification; Mister P): Clearing up misunderstandings about Becker on Bohm on the important role of stories in science This is one offer I can refuse How post-hoc power calculation is like a […]

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## severe testing : beyond Statistics wars?!

A timely start to my reading Deborah Mayo’s [properly printed] Statistical Inference as Severe Testing (How to get beyond the Statistics Wars) on the Armistice Day, as it seems to call for just this, an armistice! And the opportunity of a long flight to Oaxaca in addition… However, this was only the start and it […]

## Objective Bayes conference in June

Christian Robert points us to this Objective Bayes Methodology Conference in Warwick, England in June. I’m not a big fan of the term “objective Bayes” (see my paper with Christian Hennig, Beyond subjective and objective in statistics), but the conference itself looks interesting, and there are still a few weeks left for people to submit […]

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## Objective Bayes conference in June

Christian Robert points us to this Objective Bayes Methodology Conference in Warwick, England in June. I’m not a big fan of the term “objective Bayes” (see my paper with Christian Hennig, Beyond subjective and objective in statistics), but the conference itself looks interesting, and there are still a few weeks left for people to submit […]

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## Timing the Same Algorithm in R, Python, and C++

While developing the RcppDynProg R package I took a little extra time to port the core algorithm from C++ to both R and Python. This means I can time the exact same algorithm implemented nearly identically in each of these three languages. So I can extract some comparative “apples to apples” timings. Please read on … Continue reading Timing the Same Algorithm in R, Python, and C++