Thoughts and notes | Constantinos Antoniou, Ph.D. | Constantinos Antoniou

It is a matter of perception!

Mon, 08 Jun 2009 16:13:19 +0300

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!

Mon, 08 Jun 2009 16:08:28 +0300

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

Mon, 13 Oct 2008 19:01:55 +0300

A nice presentation of what ITS may mean for the guy next door (by ERTICO).

http://ertico.eu/en/what_is_its/a_day_in_the_life_of_eddie/

About Bayesian statisticians...

Mon, 06 Oct 2008 16:41:32 +0300

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.)"