2615 search results for "gis"

The virtues of incoherence?

July 8, 2011
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Kent Osband writes:

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GLMM Hell

July 7, 2011
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GLMM Hell

I have been starting to analyze some data I have of repeated counts of salamanders from 5 plots over 4 years. I am trying to develop a predictive model of salamander nighttime surface activity as a function of weather variables. The repeated counting l...

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Things I would tell a budding bioinformatician to learn.

July 7, 2011
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I recently read Ewan Birney's blog post, which I found echoed a lot of my own thoughts about the use of statistical in computational biology. I thought I would compile my own similar list but for bioinformatics  / computational biology in general. I have not been and in the field as long as Ewan and I certainly still...

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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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