## Yet Another Forecast Dashboard

July 31, 2012
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Recently, I came across quite a few examples of time series forecasting using R. Here are some examples: Time series cross-validation 4: forecasting the S&P 500 Holt-Winters forecast using ggplot2 Autoplot: Graphical Methods with ggplot2 Large-Scale Parallel Statistical Forecasting Computations in R (2011) by M. Stokely, F. Rohani, E. Tassone Forecasting time series data ARIMA [...]

## Split-plot 2: let’s throw in some spatial effects

July 31, 2012
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Disappeared for a while collecting frequent flyer points. In the process I ‘discovered’ that I live in the middle of nowhere, as it took me 36 hours to reach my conference destination (Estoril, Portugal) through Christchurch, Sydney, Bangkok, Dubai, Madrid … Continue reading →

## Forecasting the Olympics

Forecasting sporting events is a growing research area. The International Journal of Forecasting even had a special issue on sports forecasting a couple of years ago. The London 2012 Olympics has attracted a few forecasters trying to predict medal coun...

## Forecasting the Olympics

July 31, 2012
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Forecasting sporting events is a growing research area. The International Journal of Forecasting even had a special issue on sports forecasting a couple of years ago. The London 2012 Olympics has attracted a few forecasters trying to predict medal counts, world records, etc. Here are some of the articles I’ve seen. Which Olympic records get shattered?, Nate Silver, New York Times. Statisticians predict the number of Olympic records that will…

## C++ and R

July 30, 2012
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Today I saw a link question from reddit: How important is Java/C++ vs just using R/Matlab for big data?  I learned C++ and Matlab when I was undergraduate and I am now using R by self learning as a PhD student in Stats Department. But living in this big data time, R is really not [...]

## Being Happy in Grad School

July 30, 2012
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Lana Yarosh shared her with us 5 practices (developed through much trial and error) that helped her stay happy in grad school: Pick a good conference in your field and go to it every year (including your first year, even if you have to pay for it out of pocket) — when there were times [...]

## Archetypal Analysis

July 30, 2012
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Thinking Strategically about Customer HeterogeneityIronically, market segmentation, whose motto is "one size does not fit all," seems to rely almost exclusively on one definition of what constitutes a segment.  Borrowing its definition f...

## Why I’m Staying in Academia

July 30, 2012
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Recently, I’ve seen a few blog posts/articles about professors leaving academia for industry or some other non-academic position. By my last count I think I’ve seen three from computer science professors leaving academia for Google. The mos...

## Retracted articles and unethical behavior in economics journals?

July 30, 2012
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Stan Liebowitz writes: Have you ever heard of an article being retracted in economics? I know you have only been doing this for a few years but I suspect that the answer is that none or very few are retracted. No economist would ever deceive another. There is virtually no interest in detecting cheating. And [...]

## The Rising of Olympic Mountains

July 30, 2012
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The Rising of Olympic Mountains [visualizing.org] is a decidedly minimal data visualization by Christian Gross and featured on Visualizing.org. A timeline lets you explore the 112 years of Olympic games under the International Olympic Committee (IOC)....

## The power operators: Powers of matrices and matrix elements

July 30, 2012
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I received the following question: In the DATA step I always use the ** operator to raise a values to a power, like this: x**2. But on your blog I you use the ## operator to raise values to a power in SAS/IML programs. Does SAS/IML not support the ** [...]

## Khan Academy Statistics videos are not good

July 29, 2012
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I don’t like the Khan Academy videos about statistics. But I can see why some people do. Some are okay, though some are very bad. I’m rather sorry they exist though, as they perpetuate the idea of statistics as mathematics. … Continue reading →

## Statistician (@cocteau) to show journalists how it’s done

July 29, 2012
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Mark Hansen, a Professor at UCLA’s Departments of Statistics and Media Arts, has been appointed as the inaugural Director of the David and Helen Gurley Brown Institute for Media Innovation. The Institute is a joint venture between Columbia Univer...

## Dear Web, Thanks For Using My Screen

July 29, 2012
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In a previous post, I pointed out that while many of us use laptops, desktops and tablets with a widescreen form factor display, many websites fail to leverage much of the space. Some of the commenters indicated that they thought...

## In Sliding Internet Stocks, Some Hear Echo of 2000

July 29, 2012
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In Sliding Internet Stocks, Some Hear Echo of 2000: Tech companies that were thought to be the foundation of a new Internet era declined this week. Here’s my question: Isn’t all that data they’re collecting supposed to be worth a lot of money all...

## FindTheData.org

July 29, 2012
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I received the following (unsolicited) email: Hi Andrew, I work on the business development team of FindTheData.org, an unbiased comparison engine founded by Kevin O’Connor (founder and former CEO of DoubleClick) and backed by Kleiner Perkins with ~10M unique visitors per month. We are working with large online publishers including Golf Digest, Huffington Post, Under30CEO, and offer a variety of options [...]

## Hangman in R: A learning experience

July 29, 2012
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I love when people take a sophisticated tool and use it to play video games. Take R for example. I first saw someone create a game for R at talk.stats.com. My friend Dason inspired me to more efficiently waste time … Continue reading →

## U-PHIL: Deconstructing Larry Wasserman

July 29, 2012
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Deconstructing [i] Larry Wasserman The temptation is strong, but I shall refrain from using the whole post to deconstruct Al Franken’s 2003 quip about media bias (from Lies and Lying Liars Who Tell Them: A Fair and Balanced Look at the Right), with which Larry Wasserman begins his paper “Low Assumptions, High Dimensions” (2011) in [...]

## Predictive analytics might not have predicted the Aurora shooter

July 28, 2012
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Predictive analytics might not have predicted the Aurora shooter: It always seems a bit strange to me to suggest that to identify a very small signal in a sea of noise, what we need to do is add more noise. Even if someone is one hundred times more li...

## Statistical Principles?

July 28, 2012
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$Statistical Principles?$

Statistical Principles? Larry Wasserman There are some so-called principles of statistical inference that have names like, the Sufficiency Principle (SP), the Conditionality Principle (CP) and the Likelihood Principle (LP). Birnbaum (1962) proved that CP and SP imply LP. (But see Mayo 2010). Later, Evans Fraser and Monette (1986) proved that CP alone implies LP (so [...]

## When Picking a C.E.O. Is More Random Than Wise

July 28, 2012
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When Picking a C.E.O. Is More Random Than Wise: It appears there’s at least one area where big data has yet to make an impact. There is little solid research on what makes an effective chief executive, which makes choosing a candidate the product of...

## LOL without the CATS

July 28, 2012
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Mayo points me to this discussion [link fixed] on parsimony by philosopher Elliott Sober. I don’t really understand what he’s talking about but I am posting the link here because it might interest some of you. P.S. More discussion on this...

## R is reported as being used by about half of all data miners in the 2011 Data Miners Survey

July 28, 2012
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by Yanchang Zhao, RDataMining.com R is reported as now being used by close to half of all data miners (47%) in the 2011 Data Miners Survey by Rexer Analytics. Below is picked up from the survey highlights regarding data mining … Continue reading →