Posts Tagged ‘ graphics ’

Tennis Graphic Version 2

February 23, 2015
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Tennis Graphic Version 2

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...

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Statistical modelling and analysis of big data

February 22, 2015
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Statistical modelling and analysis of big data

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 […]

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More 3D Graphics (rgl) for Classification with Local Logistic Regression and Kernel Density Estimates (from The Elements of Statistical Learning)

February 7, 2015
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More 3D Graphics (rgl) for Classification with Local Logistic Regression and Kernel Density Estimates (from The Elements of Statistical Learning)

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 […]

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Some 3D Graphics (rgl) for Classification with Splines and Logistic Regression (from The Elements of Statistical Learning)

February 1, 2015
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Some 3D Graphics (rgl) for Classification with Splines and Logistic Regression (from The Elements of Statistical Learning)

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 […]

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Nassim Taleb Graphic

January 25, 2015
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Nassim Taleb Graphic

This arrived a couple weeks ago from Nassim Taleb. Regardless of where your view falls on the black swan spectrum, I hope you'll like the graphic. One hallmark of a good graphic is that it repays careful study, as with a good map (which is a good ...

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Seminars in Taiwan

January 5, 2015
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Seminars in Taiwan

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 24, 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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A Tennis Match Graphic

December 8, 2014
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A Tennis Match Graphic

I know you're not thinking about tennis in December (at least those of you north of the equator). I'm generally not either. But this post is really about graphics, and I may have something that will interest you. And remember, the Australian Open and t...

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Visualization of probabilistic forecasts

November 21, 2014
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Visualization of probabilistic forecasts

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 […]

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Unknown pleasures

November 11, 2014
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Unknown pleasures

Have I missed unknown pleasures in Python by focusing on R? A comment on my blog post of last week suggested just that. Reason enough to explore Python a little. Learning another computer language is like learning another human language - it takes time...

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