1528 search results for "Regression"

Even faster linear model fits with R using RcppEigen

Linear regression models are a major component of every applied researcher's toolbox. Obtaining results more quickly is therefore of central importance, particularly when many such models have to be fit. Common examples in this context are Monte Carl...

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Weighting and prediction in sample surveys

July 1, 2011
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A couple years ago Rod Little was invited to write an article for the diamond jubilee of the Calcutta Statistical Association Bulletin. His article was published with discussions from Danny Pfefferman, J. N. K. Rao, Don Rubin, and myself. Here it all is.I'll paste my discussion below, but it's worth reading the others' perspectives too. Especially...

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RcppArmadillo 0.2.25

Following a series of pre-releases, Armadillo version 2.0.0 was announced by Conrad Sanderson earlier in the week. As it happens, it contained another minor build regression so version 2.0.1 followed the next day. We created versions 0.2.24 and 0.2...

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ProjectEuler-Problem 46

June 21, 2011
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ProjectEuler-Problem 46

It was proposed by Christian Goldbach that every odd composite number can be written as the sum of a prime and twice a square. 9 = 7 + 212 15 = 7 + 222 Read More: 461 Words Totally

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Testing Hurst with Multiple Indexes

June 20, 2011
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Testing Hurst with Multiple Indexes

DO NOT TRADE THIS SYSTEM.  YOU VERY EASILY COULD LOSE LARGE AMOUNTS OF MONEY. I am not necessarily recommending the system that I presented in Exploring the Market with Hurst, but I thought it would provide a nice platform to illustrate some backtesti...

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Speeding Up MLE Code in R

June 18, 2011
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Recently, I’ve been fitting some models from the behavioral economics literature to choice data. Most of these models amount to non-linear variants of logistic regression in which I want to infer the parameters of a utility function. Because several of these models aren’t widely used, I’ve had to write my own maximum likelihood code to

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A Brief Introduction to Mixture Distributions

A Brief Introduction to Mixture Distributions

Last time, I discussed some of the advantages and disadvantages of robust estimators like the median and the MADM scale estimator, noting that certain types of datasets – like the rainfall dataset discussed last time – can cause these estimators to fail spectacularly.  An extremely useful idea in working with datasets like this one is that of mixture distributions,...

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Exploring the Market with Hurst

June 17, 2011
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Exploring the Market with Hurst

Randomly trudging through PerformanceAnalytics source code, I was intrigued by the Hurst Index calculation, which I discovered is more commonly called Hurst Exponent.  After quickly satisfying myself that I could actually do the rolling Hurst calculat...

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Dependence and Correlation

June 13, 2011
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Dependence and Correlation

In everyday life I hear the word "correlation" thrown around far more often than "dependence." What's the difference? Correlation, in its most common form, is a measure of linear dependence; the catch is that not all dependencies are linear. The set...

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R package DOSE released

June 12, 2011
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Disease Ontology (DO) provides an open source ontology for the integration of biomedical data that is associated with human disease. DO analysis can lead to interesting discoveries that deserve further clinical investigation. DOSE was designed for semantic similarity measure and enrichment analysis. Read More: 619 Words Totally

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