372 search results for "evaluation"

Model Segmentation with Cubist

March 18, 2015
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Model Segmentation with Cubist

Cubist is a tree-based model with a OLS regression attached to each terminal node and is somewhat similar to mob() function in the Party package (https://statcompute.wordpress.com/2014/10/26/model-segmentation-with-recursive-partitioning). Below is a demonstrate of cubist() model with the classic Boston housing data.

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Adopting R for experienced developers

March 14, 2015
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Adopting R for experienced developers

More and more frequently I come across people who express an interest in R, and I thought I would share some advice to help people decide if R is something they should use, as well as some high level advice on getting started. Most of these people are developers with at least few years experience writing code...

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Data Science/Statistics/R @Google

February 27, 2015
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This meetup will be hosted by Google and we’ll have Peter Lipman and Pete Meyer...

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Priors on odds and probability of success

February 22, 2015
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Priors on odds and probability of success

In Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) they mention that an non informative prior should be uniform over the range of interest. They combine this with the d...

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Some R Conferences in 2015

February 19, 2015
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by Joseph Rickert For the past few years, the Strata + Hadoop World Conference in San Jose has kicked off my personal conference season. With its focus on Data Science, Strata always seems to present some interesting R related talks, and I am looking forward to the various events over the next couple of days. But, Strata and other...

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Trial until first succes

February 15, 2015
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Trial until first succes

Studying on in Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) they state that if you have one success in a trial, that a design is needed to know what that means. For examp...

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The HP Workshop on Distributed Computing in R

February 12, 2015
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The HP Workshop on Distributed Computing in R

by Joseph Rickert In the last week of January, HP Labs in Palo Alto hosted a workshop on distributed computing in R that was organized by Indrajit Roy (Principal Researcher, HP) and Michael Lawrence (Genentech and R-core member). The goal was to bring together a small group of R developers with significant experience in parallel and distributed computing to...

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CFP: 13th Australasian Data Mining Conference (AusDM 2015)

February 9, 2015
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CFP: 13th Australasian Data Mining Conference (AusDM 2015)

The 13th Australasian Data Mining Conference (AusDM 2015) Sydney, Australia, 8-9 August 2015 co-located with SIGKDD’15 URL: http://ausdm15.ausdm.org/ Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891 The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and … Continue reading →

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Hierarchical log odds model example

February 8, 2015
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Hierarchical log odds model example

I am working through Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) (referred to as BACTHCE from here on). In chapter three I saw an example (3.13) where I wanted to d...

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Easy error propagation in R

January 22, 2015
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In a previous post I demonstrated how to use R’s simple built-in symbolic engine to generate Jacobian and (pseudo)-Hessian matrices that make non-linear optimization perform much more efficiently. Another related application is Gaussian error propagation. Say you have data from a set of measurements in variables x and y where you know the corresponding measurement errors (dx...

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