Damn the torpedoes, full speed ahead: making the switch to Python 3

Damn the torpedoes, full speed ahead: making the switch to Python 3

Python 3 has been out since 2008 (and realistically usable since 2009). In spite of this four year availability period, Python 3 use has yet to see widespread adoption, particularly among groups in the scientific community. In the company of… Continue reading →

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RSS Young Statisticians Writing Competition

May 13, 2014
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RSS Young Statisticians Writing Competition

Significance and the Young Statisticians Section of the Royal Statistical Society host an annual competition to promote and encourage top-class writing about statistics. This year’s competition closes on 30 May 2014.Here is link to an article on the ...

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Publications of George Box

May 13, 2014
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Publications of George Box

I can't imagine that there are any econometricians who have not heard of George Box - if only in the context of Box-Jenkins time-series analysis, or the Box-Cox transformation. To honour his memory and his many contributions to statistics, the pub...

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The mystery of the official inflation rate

May 13, 2014
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In case you are not subscribed to my dataviz feed, I put up a post yesterday that is highly relevant to readers here interested in statistical topics. The post discusses a graphic of a New York Times article that interprets the official inflation rate (known as the CPI). I devoted an entire chapter of Numbersense (link)to the question of why the official inflation rate diverges from our everyday experience. In…

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CFP: AusDM 2014 – the 12th Australasian Data Mining Conference

May 13, 2014
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CFP: AusDM 2014 – the 12th Australasian Data Mining Conference

********************************************************* 12th Australasian Data Mining Conference (AusDM 2014) Brisbane, Australia 27-28 November 2014 http://ausdm14.ausdm.org/ ********************************************************* Data Mining is the art and science of intelligent analysis of (usually big) data sets for meaningful insights. Data mining is actively applied across all … Continue reading →

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Personally, I’d rather go with Teragram

May 13, 2014
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This one stunned me but perhaps will be no surprise to those of you who are under 30. Laura Wattenberg writes: I live in a state where a baby girl is more likely to be named Margaret than Nevaeh. Let me restate that: I live in the only state where a baby girl is more […] The post Personally, I’d rather go with Teragram appeared first on Statistical Modeling, Causal…

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Non-negative unbiased estimators

May 13, 2014
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Non-negative unbiased estimators

Hey hey, With Alexandre Thiéry we’ve been working on non-negative unbiased estimators for a while now. Since I’ve been talking about it at conferences and since we’ve just arXived the second version of the article, it’s time for a blog post. This post is kind of a follow-up of a previous post from July, where […]

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Questions on the business analytics jobs

May 13, 2014
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Questions on the business analytics jobs

I’ve received a few questions on the business analytics jobs advertised last week. I think it is best if I answer them here so other potential candidates can have the same information. I will add to this post if I receive more questions. 1. What are your expectations in terms of outputs (KPIs)? Typically, a person at Level B (Lecturer) in our department would be producing at least one refereed article in…

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Historical Arc of Universities

May 13, 2014
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This post is by David K. Park Even though I’m an engineer with a PhD in political science, I tend to gravitate toward history to anchor my contextual lens. (If fact, if I were pressed to put a methodological stake in the ground, I would say I’m a historical comparative institutional ecologist.) In that regard, […] The post Historical Arc of Universities appeared first on Statistical Modeling, Causal Inference, and…

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Applied Statistics Lesson and Humour of the Day – Type I Error (False Positive) and Type 2 Error (False Negative)

Applied Statistics Lesson and Humour of the Day – Type I Error (False Positive) and Type 2 Error (False Negative)

In hypothesis testing, a Type 1 error is the rejection of the null hypothesis when it is actually true a Type 2 error is the acceptance of the null hypothesis when it is actually false.  (Some statisticians prefer to say “failure to reject” rather than “accept” the null hypothesis for Type 2 errors.) A Type 1 error […]

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Student Advice III: Succeeding in Academia

May 12, 2014
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Lasse Pedersen's advice is wonderful. Study it. Of course there's something or another for everyone to quibble with. My pet quibble is that it's rather long. Lasse correctly suggests roughly twenty pages for a ninety minute talk, so presumably this sli...

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“The results (not shown) . . .”

May 12, 2014
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“The results (not shown) . . .”

Pro tip: Don’t believe any claims about results not shown in a paper. Even if the paper has been published. Even if it’s been cited hundreds of times. If the results aren’t shown, they haven’t been checked. I learned this the hard way after receiving this note from Bin Liu, who wrote: Today I saw […] The post “The results (not shown) . . .” appeared first on Statistical Modeling,…

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On deck this week

May 12, 2014
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Mon: “The results (not shown) . . .” Tues: Personally, I’d rather go with Teragram Wed: How much can we learn about individual-level causal claims from state-level correlations? Thurs: Bill Easterly vs. Jeff Sachs: What percentage of the recipients didn’t use the free malaria bed nets in Zambia? Fri: Models with constraints Sat: Forum in […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Parallel resampling in the particle filter

May 12, 2014
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Parallel resampling in the particle filter

Hey there, It’s been a while I haven’t written about parallelization and GPUs. With colleagues Lawrence Murray and Anthony Lee we have just arXived a new version of Parallel resampling in the particle filter. The setting is that, on modern computing architectures such as GPUs, thousands of operations can be performed in parallel (i.e. simultaneously) […]

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The index of an index is confusion

May 12, 2014
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The index of an index is confusion

Through twitter, Antonio Rinaldi sent the following chart that accompanied a New York Times piece talking about the CPI (inflation index). The article concerns a very important topic--that many middle- to lower-income households have barely any saving after spending on...

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How to create a string of a specified length in SAS/IML

May 12, 2014
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How to create a string of a specified length in SAS/IML

In my recent post on how to understand character vectors in SAS/IML, I left out an important topic: How can you allocate a character vector of a specified length? In this article, "length" means the maximum number of characters in an element, not the number of elements in a vector. […]

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The Wiener takes it all? A review of the 2014 Eurovision results

May 12, 2014
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The Wiener takes it all? A review of the 2014 Eurovision results

Saturday's Eurovision Song Contest (ESC) from Copenhagen was hilarious as usual with acts from all over Europe and some more or less sensible gimmicks: a circular piano, a giant hamster wheel, a sea-saw, or indeed a beard and fancy dress. The results o...

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Handling @S3method’s Death in roxygen2 Version 4.0.0

May 12, 2014
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Handling @S3method’s Death in roxygen2 Version 4.0.0

This is a quickie post and specific to package maintainers who use roxygen2. Legal Disclaimer: This worked for me but make sure there’s not a corner case that would make it not work for you.  In other words back your … Continue reading →

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“What should you talk about?”

May 11, 2014
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Tyler Cowen quotes Robin Hanson: If your main reason for talking is to socialize, you’ll want to talk about whatever everyone else is talking about. Like say the missing Malaysia Airlines plane. But if instead your purpose is to gain and spread useful insight, so that we can all understand more about things that matter, […] The post “What should you talk about?” appeared first on Statistical Modeling, Causal Inference,…

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European MEP Data, Part 2

May 11, 2014
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European MEP Data, Part 2

Following last week's short examination, I now wanted to drill down a bit more in the voting behaviour as given in data from votewatch.eu on voting of MEPs.Votewatch's Data describe how often MEPs voted what in the European Parliament. For each ME...

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Who ya gonna call for statistical Fraudbusting? R.A. Fisher, P-values, and error statistics (again)

May 11, 2014
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Who ya gonna call for statistical Fraudbusting? R.A. Fisher, P-values, and error statistics (again)

If there’s somethin’ strange in your neighborhood. Who ya gonna call?(Fisherian Fraudbusters!)* *[adapted from R. Parker's "Ghostbusters"] When you need to warrant serious accusations of bad statistics, if not fraud, where do scientists turn? Answer: To the frequentist error statistical reasoning and to p-value scrutiny, first articulated by R.A. Fisher[i].The latest accusations of big time fraud in social […]

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Temporary Teaching Appointment(s)

May 10, 2014
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Temporary Teaching Appointment(s)

My department is looking for one or more people to take up temporary teaching appointments in 2015.Fields of interest include corporate finance, macroeconomics, issues in European integration, money and banking, environmental economics, and labour...

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The weird state of statistics

May 10, 2014
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Statistics a 100 years from now will look very different than it does today. That’s because it’s in a remarkably weird state currently, and this state won’t persist forever. Statisticians get used to the weirdness and forget just how ...

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