Mar 192018
 
Trump, Blair, Shaggy: It wasn't me 3

This morning, I came across an outrageously funny a moderately amusing video involving Shaggy’s early 2000s classic, some seriously revamped lyrics, and the man himself (btw, is this blond-hairing an act of cultural appropriation?). Cheap laughs, and the almost heart-warming idea that the FBI could end this, and everything would go back to normal. And yes, they manage to squeeze a lot of legalese into these lyrics.

Which then reminded me (yes, I’m old enough to remember both the outrage over Iraq and the euphoria of Blair coming to power in 1997) of a cartoon video featuring Tony Blair, Michael Howard, and other politicians of the day, happily dancing to the same song (“I was told that there were weapons hidden underneath the sand”). I tried to google it, but it is gone, a victim of the death of flash.

What is it about this song and wildly unpopular politicians? Is there something about this song that could be coaxed into a paper (“Pseudo-Rap as Liberalism. A Conceptual Sketch and Some Applications”)? Most certainly not, so let’s just post the latest video.

Trump to Robert Mueller: 'It Wasn't Me' (w/ Shaggy)
Watch this video on YouTube.

Apr 262013
 

Today is clearly a day for statistical songs (are there any other days?), so here are some links to get you started.

To kick of the stat song roundup, here are some … interesting insights into the culture that is biostatics, complete with some remarkably dreadful audio material.

Obviously, you tube has a whole channel devoted to statistical songs, featuring, inter alia, Michael Greenacre, of Correspondence Analysis fame. To the true connoisseur,  it might appear a bit overproduced, but this little gem on Single Value Decomposition is very neat.

It had to be U - the SVD song
Watch this video on YouTube.

For the Structural Equation Modelling buffs, nothing compares to Alan Reifman’s annual reprise of  “SEM – the Musical”.

But for the purists, there is only one thing, something that I have watched with awe (and slowly building shock) growing beyond all expectations. The conspiracy against Frequentism have their very own book of Bayesian praise, complete with  LaTex  source, now compromising 40-odd songs including some “previously lost classic songs”, including “Bayesians in the night” (two versions, actually).

 

Mar 042013
 
Feb 102013
 

Pat Thomson – drawing on work by Noel Gough – likens epistemological positions to crime-novel heroes. Turns out I’m a positivist (or post-positivist? why post-?) Sherlock, though I would rather be a Sam Spade or Philip Marlowe  (guess their epistemological vantage point). They are way cooler, and I’d prefer the Bourbon over the morphine. What kind of detective are you?

Jan 052013
 

Every sentient and internet enabled being in the Western world has by now noticed that Amazon’s “customers who bought this item” algorithm is one of the most successful exercises in machine learning. Like various algorithms used by Google, it is oftentimes accurate as well as slightly frightening.

A friend of mine (who is an engineer) told me that he bought an administrator’s guide to Cisco routers. Amazon concluded that he might also be interested in “Cooking for one”. I, on the other hand, recently browsed the excellent Cambridge “Dictionary of Statistics” and also had a look at “All of Statistics” (preposterous title, but an interesting book – incidentally, it tries to convey statistical basics to engineers interested in machine learning). Amazon suggested to round off my order with – drum roll – “Fifty Shades of Grey”. I’m sure my students would agree that there is an intimate link between these three titles.

Random Fun Fact of the Day: Machine Learning and Statistics 4