# 2130 search results for "regression"

## 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...

August 26, 2014
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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:

## 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,...

## Statistics: Losing Ground to CS, Losing Image Among Students

August 26, 2014
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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

August 26, 2014
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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...

## Do Massive Workloads Equal Big Declines in Running Back Productivity?

August 25, 2014
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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.

## 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...

## 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 →

## I like you and you like me…but what does it all mean. (Part 1)

August 19, 2014
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Tinder is a popular matchmaking application that allows users to connect with others whom they share a physical attraction. New members build their profile by importing their age, gender, geographic information, and photos from their Facebook account. Users are then presented with profiles which meet their search criteria and are able to like or dislike them. Unlike traditional online

## Integrating R with production systems using an HTTP API

August 19, 2014
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by Nick Elprin, Co-Founder of Domino Data Lab We built a platform that lets analysts deploy R code to an HTTP server with one click, and we describe it in detail below. If you have ever wanted to invoke your R model with a simple HTTP call, without dealing with any infrastructure setup or asking for help from developers...