Central Limit Theorem A nice illustration of the Central Limit…
Central Limit Theorem
A nice illustration of the Central Limit Theorem by convolution.in R:
Heaviside 0,1,0) }HH [Read more...]
statistics
Monitoring Productivity Experiment
For over a year now, i've been collecting how much time i spend in computer and how much of it is actually used in creative/productive activities.
By productive activity i mean that the time spent in text editor(emacs), terminal, excel or a datab... [Read more...]
Coincidence in lotteries
Last weekend, my friend and coauthor Jean-Michel Marin was interviewed (as Jean-Claude Marin, sic!) by a national radio about the probability of the replication of a draw on the Israeli Lottery. Twice the same series of numbers appeared within a month. This lotery operates on a principle of 6/37 + 1/8: 6 numbers are ... [Read more...]
Happy World Statistics Day!
The United Nations has declared today “World Statistics Day”. I’ve no idea what that means, or why we need a WSD. Perhaps it is because the date is 20.10.2010 (except in North America where it is 10.20.2010). But then, what happens from 2013 to 2099? And do we just forget the whole idea ... [Read more...]
EM and Regression Mixture Modeling
Last night, Drew Conway showed me a fascinating graph that he made from the R package data we’ve recently collected from CRAN. That graph will be posted and described in the near future, because it has some really interesting implications for the structure of the R package world. But ...
Adap’skiii program
We have just posted the (mostly definitive) program for Adap’skii, January 3-4, The Canyons, Utah. This is taking place just before and as a satellite of the larger MCMSki III conference, January 4-7, same location. The registration for the conference and for lodging is available through the MCMCSki III ... [Read more...]
An Old Wives Tale from the 2000 Census
With the data from the 2010 US Census to be published early next year, here's a cautionary tale from the 2000 Census. If you take a look at the ratio of numbers of men to women in the 5-Percent "PUMS" sample from the 2000 census over various ages, you'll see an odd spike ... [Read more...]
Ideas for World Statistics Day
World Statistics Day is 2010 October 20. If you work with data (or you should), then you are a statistician and this is a day for you. Try the Monte Hall problem on your mother. Start reading Bad Science. I mean the book, but here’s the blog. Take a step towards ...
Margin of error, and comparing proportions in the same sample
I recently tried to answer a simple question, asked by @adelaigue.
Actually, I thought that the answer would be obvious... but it is a
little bit more compexe than what I thought. In a recent pool about
elections in Brazil, it was mentionned in a ... [Read more...]
Prediction with Multilevel Regression Models, and Pizza
The Meetup phenomenon, which is now substantial and longstanding enough to be more of a cultural change than a flash in the pan, continues to impress me. Even more so than tools like LinkedIn, Meetups have changed the nature of professional networking, making it more informal, diverse, and decentralized. Last ... [Read more...]
Postdoc position in computational Bayesian statistics
Here is an announcement I received that should interest potential postdocs (willing to come to Paris). The location is on the Orsay campus, south of Paris. In the framework of the ANR-funded Metacoli project which aims at identifying the metabolic underpinnings of the lifestyle diversity in the E. coli species, ... [Read more...]
Parallel processing of independent Metropolis-Hastings algorithms
With Pierre Jacob, my PhD student, and Murray Smith, from National Institute of Water and Atmospheric Research, Wellington, who actually started us on this project at the last and latest Valencia meeting, we have completed a paper on using parallel computing in independent Metropolis-Hastings algorithms. The paper is arXived and ...
Le Monde puzzle [40]
The puzzle in Le Monde this week[end] is called the “square five” (sic!): Two players each have twenty-five cards with five times each of the digits 1,2,3,4,5. They alternate putting one card on top of the pile, except that they can instead take an arbitrary number of consecutive cards from ... [Read more...]
R Recommendation Contest Launches on Kaggle
The R Recommendation Engine contest is now live on Kaggle. Please head over there and start submitting your predictions for the test data set. Once you do, you can check the leaderboard to see how your algorithm compares with other people’s work. We know that there’s still plenty ... [Read more...]
BioStar users (of the world, unite)
Egon writes: Can someone please plot the BioStar users on a Google Map? Sounds like a challenge. Let’s go. 1. Harvesting user IP addresses BioStar user profiles (here’s mine) include a location field. It’s free text and optional, which means that location is missing or inaccurate for many ...
Pre-ordinary meeting
Those are the slides for the (basic) introduction of the paper by Mark Girolami and Ben Calderhead at the RSS next week. Not to be confused with my comments on the paper.
Filed under: R, Statistics, Travel, University life Tagged: Hamiltonian, Langevi... [Read more...]
Build a Recommendation System for R Packages
On Dataists, a new collaborative blog for data hackers that I’m contributing to, we’ve just announced a data contest that’s custom made for R users. To win the contest, you need to build a recommendation system for R packages. To find out more, check out the official ... [Read more...]
How fast is JAGS?
From Martyn Plummer, on the JAGS news blog. Key graph below, showing a few outlying cases in which JAGS is substantially slower than OpenBUGS, but generally, JAGS performs quite favorably. Key point from Martyn: Incidentally, these figures are for JAGS with the glm module loaded. The glm module is not ...
Typos…
Edward Kao just sent another typo found both in Monte Carlo Statistical Methods (Problem 3.21) and in Introducing Monte Carlo Methods with R (Exercise 3.17), namely that should be I also got another email from Jerry Sin mentioning that matrix summation in the matrix commands of Figure 1.2 of Introducing Monte Carlo Methods ...
The Data Science Venn Diagram
Whenever I'm asked, "Who uses R?", I usually rattle off a long list of job titles: statistician, analyst, quant, researcher ... and that's before all the domain-specific titles. It would be nice if there were a simple, succinct phrase to describe the process of working with, analyzing, and communicating with real ... [Read more...]
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