2602 search results for "GIS"

Descriptive statistics, causal inference, and story time

July 7, 2011
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Dave Backus points me to this review by anthropologist Mike McGovern of two books by economist Paul Collier on the politics of economic development in Africa. My first reaction was that this was interesting but non-statistical so I’d have to either post it on the sister blog or wait until the 30 days of statistics

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Call for a Special Topic on Grid and Cloud Computing Methods in Biomedical Research

Today, the AG Statistical Computing released the “Call for a Special Topic on Grid and Cloud Computing” in the Journal “Methods of Information in Medicine”. We are inviting submissions for a special topic of Methods of Information in Medicine on “Grid and Cloud Computing Methods in Biomedical Research“. This special topic call originates from a

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Use R!

July 7, 2011
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Use R!

In short: R is a free intuitive programming language that is used by practitioners in a plethora of academic disciplines. Therefore, it is on the cutting edge, and expanding rapidly. It creates stunning visuals, works seamlessly together with LaTeX, has really good online documentation and the community is unparalleled. A week...

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Importing google news data to R

July 6, 2011
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Importing google news data to R

I've been playing around lately with the stock market data available from google finance, through quantmod in R. Here's a function I've written (which depends on the R Data Science Toolkit), to pull news stories related to a stock from google, parse t...

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Early stopping and penalized likelihood

July 6, 2011
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Early stopping and penalized likelihood

Maximum likelihood gives the beat fit to the training data but in general overfits, yielding overly-noisy parameter estimates that don't perform so well when predicting new data. A popular solution to this overfitting problem takes advantage of the iterative nature of most maximum likelihood algorithms by stopping early. In general, an iterative optimization algorithm goes from a...

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In 4 Steps your Application (including R) is running on a Cloud Computing Cluster

In 4 Steps your Application (including R) is running on a Cloud Computing Cluster

Today, cloud computing is used in many application areas from academic research to industry. Commercial cloud providers as Amazon Web Services (AWS) advertise the simple and fast access to cloud computing resources. Posts in different blogs proof that you can get your application running in the cloud, but it will cost you more than 15

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R performance optimization

July 3, 2011
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The blog The Average Investors Blog R posted a nice report about accelerating a default Debian R installation and added some details about his benchmarks in the comment section

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Wikipedia for Kaggle Participants

July 1, 2011
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Kaggle has released a new data-mining challenge: use data from 10 years of Wikipedia edits in order to predict future edit rates. The dataset has been anonymized in order to obscure editor identity and article identity, simultaneously adding focus to the challenge and robbing the dataset of considerable richness. I have some experience with wikipedia…

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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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roll calls, ideal points, 112th Congress

June 29, 2011
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roll calls, ideal points, 112th Congress

Now that classes are over, I took a little time to update my scripts that update the analysis of Congressional roll calls in close to real time.   Links appear at the top of the blog.   As of about 15 minutes ago, we’re up to 77 non-unanimous roll calls in the 112th Senate.  

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