A few weeks ago, I shared a series of choropleth maps of U.S. presidential election returns, illustrating the relative support for Democratic, Republican, and third Party candidates since 1920. The granularity of these county level results led me to wonder whether it would be possible to develop an isarithmic map of presidential voting using the … Read more
My first time at ACM Data Mining Camp was so awesome, that I was thrilled the make the trip up to San Jose for the November 2010 version. In July, I gave a talk at the Emerging Technologies for Online Learning Symposium conference with a faculty member in the Department of Statistics, at the Fairmont. The place was amazing,...
I will be attending Ralph Vince's risk-opportunity analysis workshop in Tampa this weekend. Drop me a note if you're in the area and would like to meet for coffee / drinks.
I’ve had a few emails lately about forecast evaluation and estimation criteria. Here is one I received today, along with some comments. I have a rather simple question regarding the use of MSE as opposed to MAD and MAPE. If the parameters of a time series model are estimated by minimizing MSE, why do we
There have been some very good visualizations of the Wikileaks data so I decided to create one of the drug war in Mexico
There have been some very good visualizations of the Wikileaks data so I decided to create one of the drug war in Mexico
José Bernardo forwaded this announcement that sounds quite attractive (conditional upon living in a remote part of Texas!) Senior Faculty Position in Computational Statistics At Texas A&M University As part of a recognition of the increasing importance in the modeling and computational sciences, the Department of Statistics at Texas A&M University is recruiting for a 
Last month, the newest member of Revolution's engineering team, Saptarshi Guha, gave a presentation at Hadoop World 2010 on using R and Hadoop to analyze 1.3 billion voice-over-IP packets to identify calls and measure call quality. Saptarshi, of course, is the author of RHIPE, which lets R programmers write map-reduce algorithms in the Hadoop framework without needing to learn...
Before explaining how to make and interpret the plot above, Nick and I want to make a plea for questions--it's hard to come up with useful questions to explore each week!As shown in Example 8.12, data from the Cyclemeter app can be used to make interes...
This google map display is just one of 230 GHCN stations that is located in the water. After finding instances of this phenomena over and over, it seemed an easy thing to find and analyze all such cases in GHCN. The issue matters for a two reasons: In my temperature analysis program I use a 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
