# Posts Tagged ‘ statistics ’

## A look at Bayesian statistics

September 3, 2012
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An introduction to Bayesian analysis and why you might care. Fight club The subject of statistics is about how to learn.  Given that it is about the unknown, it shouldn’t be surprising that there are deep differences of opinion on how to go about doing it (in spite of the stereotype that statisticians are accountants … Continue reading...

## RStan: Fast, multilevel Bayesian modeling in R

August 31, 2012
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For the last decade or so, the go-to software for Bayesian statisticians has been BUGS (and later the open-source incarnation, OpenBugs, or JAGS). BUGS is used for multi-level modeling: using a specialized notation, you can define random variables of various distributions, set Bayesian priors for their parameters, and create the network of relationships that describe how the random variables...

## My Course Wish List at CMSE next year

August 30, 2012
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Here is the list  of courses I wish to teach next year at Chiang Mai School of Economics, not so sure about the demand there! Undergraduate (B.Econ.) ECON 304: Economics Statistics (with R) ECON 408: Research Design in Economics ECON 417: Managerial Economics ECON 419: Economic Theory and Entrepreneurship ECON 443: Industrial Economics ECON 4xx: Introduction to

## back from down under

August 29, 2012
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After a sunny weekend to unpack and unwind, I am now back to my normal schedule, on my way to Paris-Dauphine for an R (second-chance) exam. Except for confusing my turn signal for my wiper, thanks to two weeks of intensive driving in four Australian states!, things are thus back to “normal”, meaning that I

August 24, 2012
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A National Institute for Occupational Safety and Health study, published in March, found that professional American football (NFL) players lived longer, on average, than similar "mere mortals" in the general population. Football is a dangerous sport, so that might seem surprising at first, until you consider the fact that NFL players are elite sportsmen: only the strongest, fastest and...

## Why trust some supposed laws of statistical sampling and…

August 15, 2012
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Why trust some supposed laws of statistical sampling and convergence when you can just test them yourself? If you have a computer with R installed (also recommended: Rstudio) then you can stop dithering about whether these n=1000 studies cited in the n...

## The Social Dynamics of the R Core Team

August 12, 2012
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Recently a few members of R Core have indicated that part of what slows down the development of R as a language is that it has become increasingly difficult over the years to achieve consensus among the core developers of the language. Inspired by these claims, I decided to look into this issue quantitatively by

## Interviews

August 9, 2012
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I’ve been interviewed twice in the last year: For DecisionStats, 9 August 2012. For Data Mining Research, 21 October 2011. Republished in Amstat News, 1 December 2011. Some readers of this blog might find them interesting. I said a few things in t...

## Getting Started Using R, Part 1: RStudio

August 4, 2012
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Despite my preference for SAS over R, there are some add-ons to “basic” R that I’ve found that have made my learning process way easier.  While I’m still in my infancy in learning R, I feel like once I found … Continue reading →Getting Started Using R, Part 1: RStudio is an article from randyzwitch.com,...

## Forecasting the Olympics

July 30, 2012
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Forecasting sporting events is a growing research area. The International Journal of Forecasting even had a special issue on sports forecasting a couple of years ago. The London 2012 Olympics has attracted a few forecasters trying to predict medal counts, world records, etc. Here are some of the articles I’ve seen. Which Olympic records get shattered?, Nate Silver, New...