Random notes I like or find interesting.
Thoughts and notes
It is a matter of perception!
Another example of half-full/half-empty glass... You know how people say that command line tools have a steep learning curve. I read (in the preface of a book for Applied Spatial Data Analysis with R) the following footnote (p.2):
"A steep learning curve – the user learns a lot per unit time."
Lost in translation!
This is too good to be true! However, as we all know, reality surpasses fiction every time!
http://news.bbc.co.uk/2/hi/uk_news/wales/7702913.stm
A day in the life of Eddie
A nice presentation of what ITS may mean for the guy next door (by ERTICO).
About Bayesian statisticians...
From: http://www.stat.columbia.edu/~gelman/blog/ (unfortunately I cannot link directly to the specific blog entry, but the date is Oct. 3, 2008).
"I can't remember who said this first, and I can't remember if I've already put this on the blog, but the following definition may be helpful:
Every statistician uses Bayesian inference when it is appropriate (that is, when there is a clear probability model for the sampling of parameters). A Bayesian statistician is someone who will use Bayesian inference for all problems, even when it is inappropriate.
I am a Bayesian statistician myself (for the usual reason that, even when inappropriate, Bayesian methods seem to work well).
(The above is perhaps inspired by the saying that any fool can convict a guilty man; what distinguishes a great prosecutor is the ability to convict an innocent man.)"