# Posts

### March 26, 2014

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1:10 PM | Is a steal really worth 9 points?

Theodore Vasiloudis writes: I’d like to bring your attention to this article by Benjamin Morris discussing the value of steals for the NBA. The author argues that a steal should be a highly sought after statistic as it equates to higher chances of victory and is very hard to replace when a player is injured. […]The post Is a steal really worth 9 points? appeared first on Statistical Modeling, Causal Inference, and Social Science.

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9:19 AM | métro static

[heard in the métro this morning] “…les équations à deux inconnues ça va encore, mais à trois inconnues, c’est trop dur!” ["...systems of equations with two unknowns are still ok, but with three variables it is too hard!"]Filed under: Kids, Travel Tagged: high school mathematics, métro, Paris

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3:45 AM | Algorithmic Darwinism

The workshop on computational theories of evolution started off on Monday, March 17th with Leslie Valiant — one of the organizers — introducing his model of evolvability (Valiant, 2009). This original name was meant to capture what type of complexity can be achieved through evolution. Unfortunately — especially at this workshop — evolvability already had […]

Feldman, V. (2008). Evolvability from learning algorithms., Proceedings of the 40th annual ACM symposium on Theory of Computing, 619-628. DOI: 10.1145/1374376.1374465

Citation

### March 25, 2014

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11:14 PM | Seminar in Nottingham

Last Thursday, I gave a seminar in Nottingham, the true birthplace of the Gibbs sampler!, and I had a quite enjoyable half-day of scientific discussions in the Department of Statistics, with a fine evening tasting a local ale in the oldest (?) inn in England (Ye Olde Trip to Jerusalem) and sampling Indian dishes at […]

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10:18 PM | Red workbook, p13

Source
Transcript
First page
14. Sept. 2006
Fortsetzung Vortrag SK
3. collectionwise thick (cwt, cwdick), collectionwise pws (cwpws)
3.2 Notation. $\mathfrak{B} \subseteq \mathcal{P}(S), \mathfrak{V} := \{ D_e : e \in [\mathcal{B}]^{<\omega} \}$
$\mathfrak{D}$ (-Suetterlin?), $D_e = \bigcap_{B\in e} B$
Also: …

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Dean Eckles writes: Some of my coworkers at Facebook and I have worked with Udacity to create an online course on exploratory data analysis, including using data visualizations in R as part of EDA. The course has now launched at https://www.udacity.com/course/ud651 so anyone can take it for free. And Kaiser Fung has reviewed it. So definitely feel free […]The post A statistical graphics course and statistical graphics advice appeared first on Statistical Modeling, Causal
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In a previous post, I gave an overview of the alternative to expected utility theory that Lara Buchak formulates and defends in her excellent new book, Risk and Rationality (Buchak 2013). Buchak dubs the alternative risk-weighted expected utility theory. It permits agents to have risk-sensitive attitudes. In this post and the next one, I wish to argue that risk-weighted expected utility theory is right about the constraints that rationality places on our external attitudes, […]

### March 24, 2014

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7:43 PM | Lend Your Ears to the Sounds of Howls

Attention scientists and citizen scientists! NIMBioS is supporting a new project that aims to source the crowd for help in analyzing thousands of howls from wolves, coyotes, dogs and other canid species. At the new Canid Howl Project website, volunteers … Continue reading →

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In this post Aaron Lim, a DPhil student at the WCMB and the EEID, discusses his work on within-host mathematical modelling of host-virus interactions.IntroductionI am interested in building a better understanding of the host-virus dynamics of chronic viral infections, specifically in the context of human T-cell lymphotropic virus type I (HTLV-I), which is in fact the first discovered human retrovirus, identified independently by researchers in both Japan and the United States in the
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Robert Bloomfield writes: Most of the people in my field (accounting, which is basically applied economics and finance, leavened with psychology and organizational behavior) use ‘positive research methods’, which are typically described as coming to the data with a predefined theory, and using hypothesis testing to accept or reject the theory’s predictions. But a substantial […]The post Empirical implications of Empirical Implications of Theoretical Models appeared
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3:00 PM | On deck this week

OK, I’ve given up on theme weeks. I have enough saved-up material to do it, and it wouldn’t be too much trouble to group the scheduled posts into themes, but there doesn’t really seem to be a point. I say this because, having looked at the comment threads from the past few weeks, the comments […]The post On deck this week appeared first on Statistical Modeling, Causal Inference, and Social Science.

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NIMBioS is pleased to announce the 20 participants selected for the 2014 Summer Research Experience (SRE) for undergraduates and teachers program. The program will run for eight weeks this summer from June 9-August 1. Participants will come from all over … Continue reading →

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1:00 PM | On deck this month

Actually, more like the next month and a half . . . I just have this long backlog so I thought I might as well share it with you: Empirical implications of Empirical Implications of Theoretical Models A statistical graphics course and statistical graphics advice What property is important in a risk prediction model? Discrimination […]The post On deck this month appeared first on Statistical Modeling, Causal Inference, and Social Science.

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5:31 AM | An Exegesis of Yoneda Structures

Motivates the notion of Yoneda structure as an expression of basic notions of category theory in a natural 2-categorical language.