This is a gem of a book. It will become the book I give PhD students when they are learning how to write good R code. That is, if I ever see it again. I had hoped to write a review of it, but I haven’t seen it since it arrived in the mail a

I asked my research group recently what they wished they had learned before they started work on a PhD. Here are some of the responses. More mathematics. Particular topics they named included real analysis, functional analysis, measure theory, algebra, linear algebra. That would have been my response also. I still wish I knew more mathematics than

It is good to see forecasting algorithms getting some mainstream exposure on ABC Catalyst.

I was recently asked how to implement time series cross-validation in R. Time series people would normally call this “forecast evaluation with a rolling origin” or something similar, but it is the natural and obvious analogue to leave-one-out cross-validation for cross-sectional data, so I prefer to call it “time series cross-validation”. Here is some example

I’ll be giving a talk on Forecasting time series using R for the Melbourne Users of R Network (MelbURN) on Thursday 27 October 2011 at 6pm. I will look at the various facilities for time series forecasting available in R, concentrating on the forecast package. This package implements several automatic methods for forecasting time series

I received this email today: I have a question about the ets() function in R, which I am trying to use for Holt-Winters exponential smoothing. My problem is that I am getting very different estimates of the alpha, beta and gamma parameters using ets() compared to HoltWinters(), and I can’t figure out why. This is

I received an email today with the following comment: I’m using ARIMA with Intervention detection and was planning to use your package to identify my initial ARIMA model for later iteration, however I found that sometimes the auto.arima function returns a model where AR/MA coefficients are not significant. So my question is: Is there a

For many years I used RWinEdt as my text editor for R code, but when WinEdt 6.0 came out, RWinEdt stopped working. So I’ve been looking for something to replace it. I’ve tried Tinn-R, NppToR, Eclipse with StatET and a couple of other editors, but nothing was quite right. Then yesterday, out of the blue,

I don’t normally post job ads except when they are within my own research group. But this one is close to my research interests, and I’d like to help the institution find someone good for the role, so I’m making an exception. It is a position for a post-doctoral researcher at the Centre for Energy

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