Finding the R community a barrier to entry, Python looks elsewhere for lunch

January 10, 2014
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Tal Yarkoni's post on "The homogenization of scientific computing, or why Python is steadily eating other languages' lunch" is an enjoyable read of his transition from R to Python. He makes a good case, and I have no argument with his reasoning or the ...

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Next (EC)^2 Meeting December 2014, Barcelona, "Advances in Forecasting"

January 10, 2014
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Next (EC)^2 Meeting December 2014, Barcelona, "Advances in Forecasting"

Ever wonder what (EC)^2 means?  It's "European Conferences of the Econom[etr]ics Community." There have been many fine (EC)^2 metings over the years since its 1990 inception, recently under the capable leadership of Luc Ba...

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Do you believe that “humans and other living things have evolved over time”?

January 10, 2014
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Do you believe that “humans and other living things have evolved over time”?

The other day on the sister blog we discussed a recent Pew Research survey that seemed to show that Republicans are becoming more partisan about evolution (or, as Paul Krugman put it, “So what happened after 2009 that might be driving Republican views? . . . Republicans are being driven to identify in all ways […]The post Do you believe that “humans and other living things have evolved over time”?…

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Introduction to R for Quantitative Finance – Book Review

January 10, 2014
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Introduction to R for Quantitative Finance – Book Review

I used some spare time I had over the christmas break to review a book I came across: Introduction to R for Quantitative Finance. An introduction to the book by the authors can be found here. The book targets folks with some finance knowledge but no or little experience with R. Each chapter is organised around a […]

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Bayesian First Aid

January 10, 2014
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Bayesian First Aid

So I have a secret project. Come closer. I’m developing an R package that implements Bayesian alternatives to the most commonly used statistical tests. Yes you heard me, soon your t.testing days might be over! The package aims at being as easy as p...

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Machine Learning Lesson of the Day – Babies and Non-Statisticians Practice Unsupervised Learning All the Time!

Machine Learning Lesson of the Day – Babies and Non-Statisticians Practice Unsupervised Learning All the Time!

My recent lesson on unsupervised learning may make it seem like a rather esoteric field, with attempts to categorize it using words like “clustering“, “density estimation“, or “dimensionality reduction“.  However, unsupervised learning is actually how we as human beings often learn about the world that we live in – whether you are a baby learning […]

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San Fernando Valley cityscapes: An example of the benefits of fractal devastation?

January 9, 2014
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San Fernando Valley cityscapes:  An example of the benefits of fractal devastation?

I know we have some readers in the L.A. area and you might be interested in a comment on our recent post regarding the beneficial (in a Jane Jacobs sense) effects of selective devastation of micro-neighborhoods in a city. I gave the example of London after the fractal effects of bombing in WW2, and BMGM […]The post San Fernando Valley cityscapes: An example of the benefits of fractal devastation? appeared…

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Statistics eXplorer accessible for education and research

January 9, 2014
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Statistics eXplorer accessible for education and research

From: http://ncva.itn.liu.se/explorer?l=enStatistics eXplorer integrates many common InfoVis and GeoVis methods required to make sense of statistical data, uncover patterns of interests, gain insight, tell-a-story and finally communicate know...

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Hermann Goering and Jane Jacobs, together at last!

January 9, 2014
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Hermann Goering and Jane Jacobs, together at last!

Hermann Goering is famous for two things: 1. Being an air force general, and 2. Being a really bad air force general. What does this have to do, you may ask, with Jane Jacobs, who is famous for a book she wrote in the early 1960s advocating small, mixed-use street-level city development, in contrast to […]The post Hermann Goering and Jane Jacobs, together at last! appeared first on Statistical Modeling,…

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In which I ghost-write part 2 of Avinash’s post

January 9, 2014
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In my last post, I pointed you to Avinash's post about Reporting Squirrels versus Analysis Ninjas. My focus in that post is the underlying concern of "return on analytics" or lack thereof. This post takes up Avinash's argument directly. Think of this as part 2 of Avinash's post if he had kept on writing. Avinash's summary of his post is as follows: Reporting Squirrel type work has a minor incremental…

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Heterogeneous data

January 9, 2014
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I have a quibble with the following paragraph from Introducing Windows Azure for IT Professionals: The problem with big data is that it’s difficult to analyze it when the data is stored in many different ways. How do you analyze data that is distributed across relational database management systems (RDBMS), XML flat-file databases, text-based log […]

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Applied Statistics Lesson of the Day – Choosing the Range of Levels for Quantitative Factors in Experimental Design

Applied Statistics Lesson of the Day – Choosing the Range of Levels for Quantitative Factors in Experimental Design

In addition to choosing the number of levels for a quantitative factor in designing an experiment, the experimenter must also choose the range of the levels of the factor. If the levels are too close together, then there may not be a noticeable difference in the corresponding responses. If the levels are too far apart, […]

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MCMSki IV [day 3]

January 8, 2014
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MCMSki IV [day 3]

Already on the final day..! And still this frustration in being unable to attend three sessions at once… Andrew Gelman started the day with a non-computational talk that broached on themes that are familiar to readers of his blog, on the misuse of significance tests and on recommendations for better practice. I then picked the […]

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Bayes 2014 coming up nicely!

January 8, 2014
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Today I had a very useful teleconference with the other members of the organising committee for the Bayes Pharma 2014 conference. The new website is already up and running and we've included some information.We've nearly finalised all the details and t...

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New year, new cost-effectiveness thresholds?

January 8, 2014
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Karl Claxton and colleagues at the University of York have recently published a working paper on Methods for the Estimation of the NICE Cost Effectiveness Threshold. Since a guideline was issued in 2004, NICE has used standard values of £20-30,000 per...

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Bayesian variable selection in multiple regression: Sensitivity to prior

January 8, 2014
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Bayesian variable selection in multiple regression: Sensitivity to prior

[Notice updates appended January 10, 2014.] In multiple regression, analysts are often concerned with variable selection: Of the many predictor variables, which ones should be selected for inclusion in the model? Bayesian model comparison seems to be a...

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Avinash’s magnificent zoo, and the unfulfilled promise of Big Data

January 8, 2014
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Avinash (Web Analytics 2.0) is fond of animal metaphors. I think he's the one who coined HIPPOs (Highest Paid Person's Opinion). Now he's come up with Reporting Squirrels and Analysis Ninjas. See his recent post here. In short, he is shouting about "return on analytics", a really, really important thing. What is being lost in the hype of Big Data is that all the investment in analytics has to generate…

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Belief aggregation

January 8, 2014
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Johannes Castner writes: Suppose there are k scientists, each with her own model (Bayesian Net) over m random variables. Then, because the space of Bayesian Nets over these m variables, with the square-root of the Jensen-Shannon Divergence as a distance metric is a closed and bounded space, there exists one unique Bayes Net that is […]The post Belief aggregation appeared first on Statistical Modeling, Causal Inference, and Social Science.

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The top 10 predictor takes on the debiased Lasso – still the champ!

January 8, 2014
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The top 10 predictor takes on the debiased Lasso – still the champ!

After reposting on the comparison between the lasso and the always top 10 predictor (leekasso) I got some feedback that the problem could be I wasn't debiasing the Lasso (thanks Tim T. on Twitter!). The idea behind debiasing (as I … Continue reading →

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Elements of Statistical Learning: A Stunningly Good Job of LaTeX to pdf to Web

January 8, 2014
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Elements of Statistical Learning: A Stunningly Good Job of LaTeX to pdf to Web

  A very Happy New Year to all! Here's a little thing to start us off.I happened to be thinking about principal-component regression vs. ridge regression yesterday, so as usual I consulted the Hastie-Tibshirani-Friedman (HTF) classic, El...

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How to display multinominal logit results graphically?

January 8, 2014
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Adriana Lins de Albuquerque writes: Do you have any suggestions for the best way to represent multinominal logit results graphically? I am using stata. My reply: I don’t know from Stata, but here are my suggestions: 1. If the categories are unordered, break them up into a series of binary choices in a tree structure […]The post How to display multinominal logit results graphically? appeared first on Statistical Modeling, Causal…

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Losing the big picture

January 8, 2014
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Losing the big picture

One of the dangers of "Big Data" is the temptation to get lost in the details. You become so absorbed in the peeling of the onion that you don't realize your tear glands have dried up. Hans Rosling linked to...

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