1689 search results for "time series"

Postdoc in Wharton

November 16, 2010
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Postdoc in Wharton

Just received this email from José Bernardo about an exciting postdoc position in Wharton: POST-DOCTORAL FELLOW – DEPARTMENT OF STATISTICS, THE WHARTON SCHOOL The Department of Statistics at The Wharton School of the University of Pennsylvania is seeking candidates for a Post-Doctoral Fellowship. This research fellowship provides full funding without any teaching requirements at a

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Isarithmic History of the Two-Party Vote

November 15, 2010
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Isarithmic History of the Two-Party Vote

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 … Continue reading →

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R is Hot: Part 5

November 4, 2010
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This the final installment of a five-part article series. You can download the complete article from the Revolution Analytics website. Building a Business The value of R to business is borne out by the experiences of John Lucker and his team of advanced analytics professionals at Deloitte Consulting LLP. John is a Deloitte Consulting Principal and leads the firm’s...

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Choropleth Maps of Presidential Voting

November 1, 2010
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Choropleth Maps of Presidential Voting

Having always appreciated the red and blue cartograms and cartographs of geographic electoral preferences, such as those made available by Mark Newman, I sought to produce similar maps, but include information about support for non-“state-sponsored” parties, and to extend the coverage back in time. I was able to find county-level presidential election returns going as … Continue reading →

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R is Hot: Part 4

October 28, 2010
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This is Part 4 of a five-part article series, with new parts published each Thursday. You can download the complete article from the Revolution Analytics website. High Quality Graphics, Made Easy R is especially useful for generating charts and graphics, quickly and easily. The ability to create visual plots of complex data is more than just a handy trick;...

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Upcoming R courses from Statistics.com

October 26, 2010
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The online training provider Statistics.com has three great courses based on R coming up in the next few months: Nov. 5 - Dec. 3: "Graphics in R," with Paul Murrell Nov. 20 – Dec. 18: Support Vector Machines in R" with Dr. Lutz Hamel Dec. 17 - Jan. 22: "Geostatistics in R" with Prof. David Unwin The courses take...

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Help! My model fits too well!

October 22, 2010
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Help! My model fits too well!

This is sort-of related to my sidelined study of graph algebra. I was thinking about data I could apply a first-order linear difference model to, and the stock market came to mind. After all, despite some black swan sized shocks, what better predicts a day’s closing than the previous day’s closing? So,

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R is Hot: Part 3

October 21, 2010
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This is Part 3 of a five-part article series, with new parts published each Thursday. You can download the complete article from the Revolution Analytics website. Power from Elegance If the R movement has a genuine rock star, it’s probably Hadley Wickham. He’s an assistant professor and the Dobelman Family Junior Chair in Statistics at Rice University. He’s written...

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Coincidence in lotteries

October 19, 2010
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Coincidence in lotteries

Last weekend, my friend and coauthor Jean-Michel Marin was interviewed (as Jean-Claude Marin, sic!) by a national radio about the probability of the replication of a draw on the Israeli Lottery. Twice the same series of numbers appeared within a month. This lotery operates on a principle of 6/37 + 1/8: 6 numbers are drawn

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Middlesboro Kentucky: Pitch Black?

October 19, 2010
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Middlesboro Kentucky: Pitch Black?

In his august draft of Hansen2010, Dr. Hansen makes the following claim: “We present evidence here that the urban warming has little effect on our standard global temperature analysis.  However, in the Appendix we carry out an even more rigorous test. We show there that there are a sufficient number of stations located in “pitch

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