statistics

Clustering the world’s diets

March 10, 2010 | David Smith

Cluster Analysis is a useful technique for classifying the members of a group (people, events, measurements, etc) into "similar" groups. How "similar" is defined depends on the application, but generally involves looking at a number of attributes of the group. For example, we could cluster people by looking at their ... [Read more...]

principal components and image reconstruction

March 9, 2010 | jackman

Jeff Lewis at UCLA told me he teaches principal components with an image reconstruction example. This got me inspired to try it myself. A snapshot appears below, showing how the image quality improves quickly with a relatively small number of principal components. A full, Sweaved write up is here, making ... [Read more...]

Introducing R on video

March 9, 2010 | xi'an

Darren Wraith pointed out to me this site proposing a whole series of videos introducing to R. (Unfortunately in a Windows environment.) This can be handy when facing students with no R background… Filed under: R, Statistics, University life Tagged: course, video [Read more...]

Chinese versus Japanese editions

March 8, 2010 | xi'an

Last week, I got news from Springer Verlag about possibly two new editions of my books, one in Chinese and one in Japanese. These were bad news and good news: the bad news was that the Chinese edition was actually a reprint of our original book,  Monte Carlo Statistical Method, ... [Read more...]

Posterior likelihood

March 6, 2010 | xi'an

At the Edinburgh mixture estimation workshop, Murray Aitkin presented his proposal to compare models via the posterior distribution of the likelihood ratio. As already commented in a post last July, the positive aspect of looking at this quantity rather than at the Bayes factor is that the priors are then ... [Read more...]

An email about mixtures

March 4, 2010 | xi'an

As a coincidence, or not, I received the following email just before starting our mixture estimation workshop (the above is Ben Nevis on Monday, whose skyline really looks like a three component mixture!) and giving a discussion on label switching: I am implementing a Markov-Chain Monte Carlo method for Gibbs ... [Read more...]

How to use mcsm

February 27, 2010 | xi'an

Within the past two days, I received this email Dear Prof.Robert I have just bought your recent book on Introducing Monte Carlo Methods with R.  Although I have checked your web page for the R programs (bits of the code in the book, codes for generating the figures and ...
[Read more...]

Welcome, Robin!

February 25, 2010 | xi'an

Robin Ryder started his new blog with his different solutions to Le Monde puzzle of last Saturday (about the algebraic sum of products…), solutions that are much more elegant than my pedestrian rendering. I particularly like the one based on the Jacobian of a matrix! (Robin is doing a postdoc ... [Read more...]

A quicky..

February 22, 2010 | M. Parzakonis

If you’re (and you should) interested in principal components then take a good look at this. The linked post will take you by hand to do everything from scratch. If you’re not in the mood then the dollowing R functions will help you. An example. # Generates sample matrix ... [Read more...]

Sudoku via simulated annealing

February 22, 2010 | xi'an

The Sudoku puzzle in this Sunday edition of Le Monde was horrendously difficult, so after spending one hour with only 4 entries filled, I decided to feed it to the simulated annealing R program I wrote while visiting SAMSI last year. The R program reached the exact (and only) solution in ...
[Read more...]

Post hoc analysis for Friedman’s Test (R code)

February 22, 2010 | Tal Galili

My goal in this post is to give an overview of Friedman’s Test and then offer R code to perform post hoc analysis on Friedman’s Test results. (The R function can be downloaded from here) Preface: What is Friedman’s Test Friedman test is a non-parametric randomized block ...
[Read more...]

The truncated Poisson

February 21, 2010 | M. Parzakonis

A common model for counts data is the Poisson. There are cases however that we only record positive counts, ie there is a truncation of 0. This is the truncated Poisson model. To study this model we only need the total counts and the sample size. This comes from the sufficient ... [Read more...]

Uh!

February 20, 2010 | M. Parzakonis

Didn't know this... a data 0 2 4 7+ 25 34 12 5 It's becoming clear that I have learned R in the most unstructured way...I always do it in two stages :ashamed: [Read more...]

lme4 stands 4 Linear mixed-effects…

February 19, 2010 | Manos Parzakonis

There is a certain hype about mixed (and random) effects among statistician and analysts. You can show some love to Douglas Bates and Martin Maechler for maintaing the lme4 package for our cupid, R I copy the entity of the information of the projects page. Doxygen documentation of the underlying ... [Read more...]

Newspaper flubs probability calculation

February 19, 2010 | David Smith

That headline's right up there with "Dog Bites Man" for shock value, but the Daily Express in the UK isn't one to let mere probability stand in the way of a sensational headline like "Mum beats odds of 50 million to one to have 3 babies on same date". As Ben Goldacre ... [Read more...]

Joining R-bloggers

February 18, 2010 | xi'an

Upon request by the blog administrator, Tal Galili, I have joined R-bloggers, which aggregate blog entries about R into a central place. I feel I have much more to learn than to teach about R (as can be seen from earlier comments on my R programs in Introducing Monte Carlo ... [Read more...]
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