googleVis 0.5.1 released on CRAN

April 15, 2014
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googleVis 0.5.1 released on CRAN

GoogleVis 0.5.1 was released on CRAN yesterday. New Features New functions gvisSankey, gvisAnnotationChart, gvisHistogram,gvisCalendar and gvisTimeline to support the new Google charts of the same names (without 'gvis'). New demo Trendlines showing how...

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Generating tables in LaTeX

April 14, 2014
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Generating tables in LaTeX

Typing tables in LaTeX can get messy, but there are some good tools to simplify the process. One I discovered this week is tablesgenerator.com, a web-based tool for generating LaTeX tables. It also allows the table to saved in other formats including HTML and Markdown. The interface is simple, but it does most things. For complicated tables, some additional formatting may be necessary.     Similar functionality is available via…

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Bayes Pharma 2014 – nearly there…

April 14, 2014
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Bayes Pharma 2014 – nearly there…

We're nearly done with (most of) the preparation for Bayes Pharma 2014. We've received quite a few abstracts for the contributed talks $-$ many different topics but in general very interesting work, I thought.We've managed to secure several sponsorship...

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Causal Inference in Health, Economic and Social Sciences

April 14, 2014
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The programme of the forthcoming UK Causal Inference Meeting "Causal Inference in Health, Economic and Social Sciences" is just out. The short conference will be at the end of the month (28th and 29th of April) at the University of Cambridge.I ind...

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Phil 6334: Notes on Bayesian Inference: Day #11 Slides

April 14, 2014
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Phil 6334: Notes on Bayesian Inference: Day #11 Slides

  A. Spanos Probability/Statistics Lecture Notes 7: An Introduction to Bayesian Inference (4/10/14) Spanos lecture 7: An Introduction to Bayesian Inference from jemille6 Filed under: Bayesian/frequentist, Phil 6334 class material, Statistics

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Transitioning to Stan

April 14, 2014
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Kevin Cartier writes: I’ve been happily using R for a number of years now and recently came across Stan. Looks big and powerful, so I’d like to pick an appropriate project and try it out. I wondered if you could point me to a link or document that goes into the motivation for this tool […] The post Transitioning to Stan appeared first on Statistical Modeling, Causal Inference, and Social…

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Example 2014.4: Hilbert Matrix

April 14, 2014
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Example 2014.4: Hilbert Matrix

Rick Wicklin showed how to make a Hilbert matrix in SAS/IML. Rick has a nice discussion of these matrices and why they might be interesting; the value of H_{r,c} is 1/(r+c-1). We show how to make this matrix in the data step and in R. We also show t...

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On deck this week

April 14, 2014
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Mon: Transitioning to Stan Tues: When you believe in things that you don’t understand Wed: Looking for Bayesian expertise in India, for the purpose of analysis of sarcoma trials Thurs: If you get to the point of asking, just do it. But some difficulties do arise . . . Fri: One-tailed or two-tailed? Sat: Index […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Frequentists vs. Bayesians on the Exploding Sun

April 14, 2014
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Frequentists vs. Bayesians on the Exploding Sun

Time for something light.  Check out xkcd.com, "A webcomic of romance, sarcasm, math, and language," written by a literate former NASA engineer.  Really fine stuff.  Thanks to my student M.D. for introducing me to it.  Here's one on...

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Public Universities Should Use Open Source Software

April 14, 2014
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Public Universities Should Use Open Source Software

The Homeless Econometrician: Black Box SoftwareChoosing to go open source is a big deal.  It means that when asking for help or new improvements you are dealing with a highly active and generous user community which enjoys helping instead of a cor...

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Summary of new features in SAS/IML 12.1

April 14, 2014
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Summary of new features in SAS/IML 12.1

I enjoy blogging about new functionality in the SAS/IML language because I can go into more depth and provide more complicated examples than the SAS/IML documentation. Today's article is a summary of all of my posts about features that were added to SAS/IML 12.1, which shipped in August 2012 as […]

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Review: Manuel Lima, The Book of Trees

April 14, 2014
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Review: Manuel Lima, The Book of Trees

Trees. They’re everywhere. And not just in the physical world, but in data visualization and knowledge representation as well. This is not a new phenomenon, it goes back thousands of years. Manuel Lima’s new book, The Book of Trees, gives an overview. Setting Expectations This review is an example of priming. The first time I […]

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Edmond Malinvaud on the Contributions of the Cowles Commission

April 14, 2014
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Edmond Malinvaud on the Contributions of the Cowles Commission

"A father cannot expect more than to see his son take up his business and find new ways of making it flourish. Cowles econometricians of the forties are truly the fathers of present day econometricians and, like successful fathers, have good reason to ...

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Exploring US healthcare data

April 13, 2014
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Exploring US healthcare data

A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11 beneficiaries were removed for privacy reasons), but its the best thing we've…

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Law-Breaking Econometricians

April 13, 2014
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Law-Breaking Econometricians

I don't follow Lars P. Syll's blog, but the other day I was led there by a Twitter tweet. Lars begins his recent post, "Forecasting Alchemy", with the following statement:'In New York State, Section 899 of the Code of Criminal Procedure provides that p...

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Open Science Through R

April 13, 2014
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Open Science Through R

There's so much being written about R these days, and justifiably so. If you use R for your econometrics, you should also keep in mind that its applicability is far wider than statistical analysis. A big HT to the folks at Quandl for leading ...

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Exploring US Healthcare data

April 13, 2014
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Exploring US Healthcare data

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Following open courseware

April 13, 2014
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I love massive open online courses such as provided on Coursera and edX. So I enrolled in the Data Analysis for Genomics course on edX. I am not alone there as seen from this posting on FreshBiostats.I was shocked when I took the Pre-Course R self-asse...

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What’s Gained from Calculating Bayesian Probabilities?

April 12, 2014
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The previous post claimed it’s reasonable to expect frequencies in binary experiments to be near .5 simply because that’s what most possible outcomes lead to. Reasonable or not, there’s no guarantee it’ll happen however. If 1% o...

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“If you are primarily motivated to make money, you . . . certainly don’t want to let people know how confused you are by something, or how shallow your knowledge is in certain areas. You want to project an image of mastery and omniscience.”

April 12, 2014
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“If you are primarily motivated to make money, you . . . certainly don’t want to let people know how confused you are by something, or how shallow your knowledge is in certain areas. You want to project an image of mastery and omniscience.”

A reader writes in: This op-ed made me think of one your recent posts. Money quote: If you are primarily motivated to make money, you just need to get as much information as you need to do your job. You don’t have time for deep dives into abstract matters. You certainly don’t want to let […] The post “If you are primarily motivated to make money, you . . .…

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Think X, Y and Z: What’s in the pipeline?

April 12, 2014
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Think X, Y and Z: What’s in the pipeline?

Greetings from PyCon 2014 in Montreal!  I did a book signing yesterday at the O'Reilly Media booth.  I had the pleasure of working side by side with David Beazley, who was signing copies of The Python Cookbook, now updated for Python 3 and, I...

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“Murder or Coincidence?” Statistical Error in Court: Richard Gill (TEDx video)

April 12, 2014
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“Murder or Coincidence?” Statistical Error in Court: Richard Gill (TEDx video)

“There was a vain and ambitious hospital director. A bad statistician. ..There were good medics and bad medics, good nurses and bad nurses, good cops and bad cops … Apparently, even some people in the Public Prosecution service found the witch hunt deeply disturbing.” This is how Richard Gill, statistician at Leiden University, describes a […]

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“Schools of statistical thoughts are sometimes jokingly likened to religions. This analogy is not perfect—unlike religions, statistical methods have no supernatural content and make essentially no demands on our personal lives. Looking at the comparison from the other direction, it is possible to be agnostic, atheistic, or simply live one’s life without religion, but it is not really possible to do statistics without some philosophy.”

April 12, 2014
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This bit is perhaps worth saying again, especially given the occasional trolling on the internet by people who disparage their ideological opponents by calling them “religious” . . . So here it is: Sometimes the choice of statistical philosophy is decided by convention or convenience. . . . In many settings, however, we have freedom […] The post “Schools of statistical thoughts are sometimes jokingly likened to religions. This analogy…

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