Blog Archives

North American seminars: June 2015

June 15, 2015
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For the next few weeks I am travelling in North America and will be giving the following talks. 19 June: Southern California Edison, Rosemead CA. “Probabilistic forecasting of peak electricity demand”. 23 June: International Symposium on Forecasting, Riverside CA. “MEFM: An R package for long-term probabilistic forecasting of electricity demand”. 25 June: Google, Mountain View, CA. “Automatic algorithms

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R vs Autobox vs ForecastPro vs …

June 2, 2015
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Every now and then a commercial software vendor makes claims on social media about how their software is so much better than the forecast package for R, but no details are provided. There are lots of reasons why you might select a particular software solution, and R isn’t for everyone. But anyone claiming superiority should

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A new R package for detecting unusual time series

May 30, 2015
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A new R package for detecting unusual time series

The anomalous package provides some tools to detect unusual time series in a large collection of time series. This is joint work with Earo Wang (an honours student at Monash) and Nikolay Laptev (from Yahoo Labs). Yahoo is interested in detecting unusual patterns in server metrics. The basic idea is to measure a range of

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New in forecast 6.0

May 14, 2015
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This week I uploaded a new version of the forecast package to CRAN. As there were a lot of changes, I decided to increase the version number to 6.0. The changes are all outlined in the ChangeLog file as usual. I will highlight some of the more important changes since v5.0 here. ETS One of

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Feeling the FPP love

April 9, 2015
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It is now exactly 12 months since the print version of my forecasting textbook with George Athanasopoulos was released on Amazon.com. Although the book is freely available online, it seems that a lot of people still like to buy print books. It’s nice to see that it has been getting some good reviews. It is rated

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A new open source data set for anomaly detection

March 31, 2015
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Yahoo Labs has just released an interesting new data set useful for research on detecting anomalies (or outliers) in time series data. There are many contexts in which anomaly detection is important. For Yahoo, the main use case is in detecting unusual traffic on Yahoo servers. The data set comprises real traffic to Yahoo services, along

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Dark themes for writing

March 17, 2015
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Dark themes for writing

I spend much of my day sitting in front of a screen, coding or writing. To limit the strain on my eyes, I use a dark theme as much as possible. That is, I write with light colored text on a dark background. I don’t know why this is not the default in more software

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RSS feeds for statistics and related journals

January 23, 2015
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I’ve now resurrected the collection of research journals that I follow, and set it up as a shared collection in feedly. So anyone can easily subscribe to all of the same journals, or select a subset of them, to follow on feedly. There are about 90 journals on the list, mostly in statistics, but some from machine

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Seminars in Taiwan

January 5, 2015
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I’m currently visiting Taiwan and I’m giving two seminars while I’m here — one at the National Tsing Hua University in Hsinchu, and the other at Academia Sinica in Taipei. Details are below for those who might be nearby. Automatic Time Series Forecasting College of Technology Management, Institute of Service Science, National Tsing Hua University,

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Di Cook is moving to Monash

December 23, 2014
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Di Cook is moving to Monash

I’m delighted that Professor Dianne Cook will be joining Monash University in July 2015 as a Professor of Business Analytics. Di is an Australian who has worked in the US for the past 25 years, mostly at Iowa State University. She is moving back to Australia and joining the Department of Econometrics and Business Statistics in the

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