597 search results for "register"

Quarterback Wonderlic Scores by Institution (Academic) Strength

November 1, 2013
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Quarterback Wonderlic Scores by Institution (Academic) Strength

## geom_smooth: method="auto" and size of largest group is <1000, so using## loess. Use 'method = x' to change the smoothing method. I remember my dad telling me that when he was at Northwestern in the mid-70s, the team...

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Simulation of an Oxford (Undergrad) Interview Question

October 31, 2013
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Simulation of an Oxford (Undergrad) Interview Question

A friend of mine, who's an economics teacher in London, is responsible for preparing some of his students for interviews at Oxford and Cambridge. He told me that, at these schools, students have to go through a nerve-wracking...

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Percolation Threshold on a Square Lattice

October 29, 2013
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Percolation Threshold on a Square Lattice

Manfred Schroeder touches on the topic of percolation a number of times in his encyclopaedic book on fractals (Schroeder, M. (1991). Fractals, Chaos, Power Laws: Minutes from an Infinite Paradise. W H Freeman & Company.). Percolation has numerous practical applications, the most interesting of which (from my perspective) is the flow of hot water through

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Introducing Revolution R Enterprise 7

October 28, 2013
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We're very excited to formally announce that Revolution R Enterprise 7 is here! This release includes the latest release of Open Source R (R 3.0.2). It brings R and the massively-parallel R functions from Revolution Analytics to Cloudera and Hortonworks in-Hadoop, and in-database on Teradata. It also brings a new drag-and-drop user interface via integration with Alteryx, and a...

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Big and small daycares in Toronto by building type, mapped using RGoogleMaps and Toronto Open Data

October 17, 2013
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Big and small daycares in Toronto by building type, mapped using RGoogleMaps and Toronto Open Data

Before my daughter was born, I thought that my wife and I would have to send her to a licensed child care centre somewhere in Toronto.  I had heard over and over how long of a waiting list I should … Continue reading →

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Latent Gaussian Models and INLA

October 16, 2013
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Latent Gaussian Models and INLA

If you read my post about Fast Bayesian Inference with INLA you might wonder which models are included within the class of latent Gaussian models (LGM), and can therefore be fitted with INLA. Next I will give a general definition about LGM and later I will describe three completely different examples that belong to this

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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #10)

October 14, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #10)

This a final reminder about the October 15 deadlines for MCMSki IV: First, the early bird rate for the registration ends up on October 15. Second, the young investigator travel support can only be requested up to October 15 as well. (For those waiting for the decision about the support to register, the registration deadline will be

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Fearsome Engines Part 2: Innovations and new features

October 13, 2013
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Fearsome Engines Part 2: Innovations and new features

There are lots of R engines emerging! I’ve interviewed members of each of the teams involved in these projects. In part 1 of this series, we covered the motivation of each project. This part looks at the technical achievements and new features. Many of the innovations are performance improvements, reflecting the primary goal of several

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October 24: 4th MilanoR meeting. Agenda

October 11, 2013
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October 24: 4th MilanoR meeting. Agenda

October 24, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.45 Welcome presentation R and Microsoft Office Nicola Sturaro, Consultant at Quantide 18.45 - … Continue reading →

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Tomorrow: Webinar on Time-to-Event Models

October 9, 2013
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We're thrilled to have John Wallace and Tess Nesbitt from DataSong join our Fall webinar series tomorrow, with a great presentation on time to event models. If you're trying to predict when an event will occur (for example, a consumer buying a product) or trying to infer why events occur (what were the factors that led to a component...

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