2162 search results for "Regression"

1.2 Millions Deaths by Ebola projected within Six Months?

September 5, 2014
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1.2 Millions Deaths by Ebola projected within Six Months?

The World Health Organization, Samaratins Purse, Doctors Without Borders, and other international medical emergency relief programs are desperately calling for additional resources in the international fight against Ebola that has already killed thousa...

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EM Algorithm for Bayesian Lasso R Cpp Code

September 5, 2014
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EM Algorithm for Bayesian Lasso R Cpp Code

Bayesian Lasso $$begin{align*} p(Y_{o}|beta,phi)&=N(Y_{o}|1alpha+X_{o}beta,phi^{-1} I_{n{o}})\ pi(beta_{i}|phi,tau_{i}^{2})&=N(beta_{i}|0, phi^{-1}tau_{i}^{2})\ pi(tau_{i}^{2})&=Exp left( frac{lambda}{2} right)\ pi(phi)&propto phi^{-1}\ pi(alpha)&propto 1\ end{align*}$$ Marginalizing over (alpha) equates to centering the observations and losing a degree of freedom and working with the centered ( Y_{o} ). Mixing over (tau_{i}^{2}) leads to a Laplace or Double Exponential prior on (beta_{i}) with rate parameter (sqrt{philambda}) The post

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Introducing H2O Lagrange (2.6.0.11) to R

September 1, 2014
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From my perspective the most important event that happened at useR! 2014 was that I got to meet the 0xdata team and now, long story short, here I am introducing the latest version of H2O, labeled Lagrange (2.6.0.11), to the R and greater data science communities. Before joining 0xdata, I was working at a competitor on a rival project and was repeatedly asked...

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Reading the Gauss-Markov theorem

August 26, 2014
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Reading the Gauss-Markov theorem

What is the Gauss-Markov theorem? From “The Cambridge Dictionary of Statistics” B. S. Everitt, 2nd Edition: A theorem that proves that if the error terms in a multiple regression have the same variance and are uncorrelated, then the estimators of the parameters in the model produced by least squares estimation are better (in the sense Related posts:

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Statistics: Losing Ground to CS, Losing Image Among Students

August 26, 2014
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by Norman Matloff The American Statistical Association (ASA) leadership, and many in Statistics academia. have been undergoing a period of angst the last few years, They worry that the field of Statistics is headed for a future of reduced national influence and importance, with the feeling that: The field is to a large extent being usurped by other disciplines,...

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Statistics: Losing Ground to CS, Losing Image Among Students

August 26, 2014
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Statistics:  Losing Ground to CS, Losing Image Among Students

The American Statistical Association (ASA)  leadership, and many in Statistics academia. have been undergoing a period of angst the last few years,  They worry that the field of Statistics is headed for a future of reduced national influence and importance, with the feeling that: The field is to a large extent being usurped by other

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ChainLadder 0.1.8 released

August 26, 2014
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ChainLadder 0.1.8 released

Over the weekend we released version 0.1.8 of the ChainLadder package for claims reserving on CRAN. What is claim reserving?The insurance industry, unlike other industries, does not sell products as such but promises. An insurance policy is a promise by the insurer to the policyholder to pay for future claims for an upfront received premium. As a result...

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Do Massive Workloads Equal Big Declines in Running Back Productivity?

August 25, 2014
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Do Massive Workloads Equal Big Declines in Running Back Productivity?

The popular wisdom is that “massive workloads” result in a decline in running back productivity in the following season. For example, anecdotal evidence using Corey Dillon (2004) and Jamaal Anderson The post Do Massive Workloads Equal Big Declines in Running Back Productivity? appeared first on Fantasy Football Analytics.

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Forecasting with R in WA

August 24, 2014
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On 23–25 September, I will be running a 3-day workshop in Perth on “Forecasting: principles and practice” mostly based on my book of the same name. Workshop participants will be assumed to be familiar with basic statistical tools such as multiple regression, but no knowledge of time series or forecasting will be assumed. Some prior experience in R is...

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Impact of correlated predictions on the variance of an ensemble model

August 21, 2014
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Impact of correlated predictions on the variance of an ensemble model

Let and be the prediction errors of two statistical/machine learning algorithms. and have relatively low bias, and high variances and . They are also correlated, having a Pearson correlation coefficient equal to . Aggregating models and might result in a … Continue reading →

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