The tennis graphic is coming along; here's version 2 static. Thanks for the earlier comments on version 1 (more emailed than posted, you technophobes). Same Federer-Monfils example below. We now simply show points-from-set, set-by-set. (Sorry...

I’m currently attending the one day workshop on this topic at QUT in Brisbane. This morning I spoke on “Visualizing and forecasting big time series data”. My slides are here. The talks are being streamed. OVERVIEW Big data is now endemic in business, industry, government, environmental management, medical science, social research and so on. One […]

This post builds on a previous post, but can be read and understood independently. As part of my course on statistical learning, we created 3D graphics to foster a more intuitive understanding of the various methods that are used to relax the assumption of linearity (in the predictors) in regression and classification methods. The authors […]

This semester I'm teaching from Hastie, Tibshirani, and Friedman's book, The Elements of Statistical Learning, 2nd Edition. The authors provide a Mixture Simulation data set that has two continuous predictors and a binary outcome. This data is used to demonstrate classification procedures by plotting classification boundaries in the two predictors. For example, the figure below […]

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, […]

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 […]

This week my research group discussed Adrian Raftery’s recent paper on “Use and Communication of Probabilistic Forecasts” which provides a fascinating but brief survey of some of his work on modelling and communicating uncertain futures. Coincidentally, today I was also sent a copy of David Spiegelhalter’s paper on “Visualizing Uncertainty About the Future”. Both are […]