Since publishing the monotonic binning function based upon the isotonic regression (https://statcompute.wordpress.com/2017/06/15/finer-monotonic-binning-based-on-isotonic-regression), I’ve received some feedback from peers. A potential concern is that, albeit improving the granularity and predictability, the binning is too fine and might not generalize well in the new data. In light ...

So its draft time in AFL at the moment and being a keen fan on all drafting I was a little disappointing with the coverage. Not because there were not people doing some interesting work. We had a great article on ABC by the guys over at HPN who were ...

Recently I saw this tweet at James Coventry the author of footballistics. It got me thinking that this would be an interesting example now that we have players heights, position and weight to answer this kind of question. This by no means is meant to be a rigorous statistical analysis ...

(TL;DR: author begins quest to use undiagnosed OCD to come up with different paths to walk to work…all in the name of weight loss)

Link to paper here As a summary, I think the paper is about seeing if “box score” data can be used to predict the winner of a game. Put another way, if I were to show you the AFL stats on say footywire at the end of a game and ...

Following from the past post, this post is focused on visualizing diversity through the package vegan and also maps showing the presence of native/introduced trees. The most important code in this post is manipulating Spatial*DataFrames. The same files will be read in, including the native/introduced status downloaded ...

In this post, I’m evaluating some ways of choosing hyper-parameters (\(\alpha\) and \(\lambda\)) in penalized linear regression. The same principles can be applied to other types of penalized regresions (e.g. logistic). Model In penalized linear regression, we find regression coefficients \(\hat{\beta}_0\) and \(\hat{\beta}\) that minimize the ...