Posts Tagged ‘ Uncategorized ’

Interview with Emily Oster

December 19, 2014
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Interview with Emily Oster

Emily Oster is an Associate Professor of Economics at Brown University. She is a frequent and highly respected contributor to 538 where she brings clarity to areas of interest to parents, pregnant woman, and the general public where empirical research is conflicting or difficult to interpret. She is also the author of the popular new

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Repost: Statistical illiteracy may lead to parents panicking about Autism

December 18, 2014
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Editor's Note: This is a repost of a previous post on our blog from 2012. The repost is inspired by similar issues with statistical illiteracy that are coming up in allergy screening and pregnancy screening.  I just was doing my morning reading of a few news sources and stumbled across this Huffington Post article talking about

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Statistical modelling and analysis of big data

December 18, 2014
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Statistical modelling and analysis of big data

There is a one day workshop on this topic on 23 February 2015 at QUT in Brisbane. I will be speaking on “Visualizing and forecasting big time series data”. OVERVIEW Big data is now endemic in business, industry, government, environmental management, medical science, social research and so on. One of the commensurate challenges is how to […]

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A non-comprehensive list of awesome things other people did in 2014

December 17, 2014
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A non-comprehensive list of awesome things other people did in 2014

Editor's Note: Last year I made a list off the top of my head of awesome things other people did. I loved doing it so much that I'm doing it again for 2014. Like last year, I have surely missed awesome things people have done. If you know of some, you should make your own list or

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Self-similar structures from Kronecker products

December 17, 2014
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Self-similar structures from Kronecker products

I recently posted an article about self-similar structures that arise in Pascal's triangle. Did you know that the Kronecker product (or direct product) can be used to create matrices that have self-similar structure? The basic idea is to start with a 0/1 matrix and compute a sequence of direct products […]

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New R package for electricity forecasting

December 17, 2014
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New R package for electricity forecasting

Shu Fan and I have developed a model for electricity demand forecasting that is now widely used in Australia for long-term forecasting of peak electricity demand. It has become known as the “Monash Electricity Forecasting Model”. We have decided to release an R package that implements our model so that other people can easily use it. […]

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Elementwise minimum and maximum operators

December 15, 2014
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Elementwise minimum and maximum operators

Like most programming languages, the SAS/IML language has many functions. However, the SAS/IML language also has quite a few operators. Operators can act on a matrix or on rows or columns of a matrix. They are less intuitive, but can be quite powerful because they enable you perform computations without […]

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A time series classification contest

December 14, 2014
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A time series classification contest

Amongst today’s email was one from someone running a private competition to classify time series. Here are the essential details. The data are measurements from a medical diagnostic machine which takes 1 measurement every second, and after 32–1000 seconds, the time series must be classified into one of two classes. Some pre-classified training data is […]

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Sunday data/statistics link roundup (12/14/14)

December 14, 2014
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A very brief analysis suggests that economists are impartial when it comes to their liberal/conservative views. That being said, I'm not sure the regression line says what they think it does, particularly if you pay attention to the variance around the line (via Rafa). I am digging the simplicity of charted.co from the folks at Medium.

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Kobe, data says stop blaming your teammates

December 12, 2014
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Kobe, data says stop blaming your teammates

This year, Kobe leads the league in missed shots (by a lot), has an abysmal FG% of 39 and his team plays better when he is on the bench. Yet he blames his teammates for the Lakers' 6-16 record. Below is a plot showing that 2014 is not the first time the Lakers are mediocre during Kobe's

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