Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
[1/*] If we take the chance that a tool (compiler, linker, batch, whatever) remains working for a particular codebase after one year as a given probability p, then the chance that build remains working after x years is p^xn, where n is the number of tools used in the build.
Congrats! The @Debian package has been updated and is already available; an @Ubuntu 20.04 build will be published in 'edd/misc' PPA shortly. Also the most recent #RStats package release RQuantLib 0.4.14 installs unchanged.
Beyond thrilled that two weeks from today, @Sondreus of the data team at @TheEconomist will guest lecture to the students of my STAT 447 class. Details still being worked out, but we may have a publically available recording.
stat447.com/guest_lectures/#rstats#datascience
Remembering when Josh Angrist moonlighted as an Uber driver to get info for a paper (he got low ratings b/c passengers said he asked them too many questions).
Rando drunk Boston ppl driven around by a Nobel laureate studying incentives and human behavior is <kiss-fingers>
Hey @ECONdailycharts that lovely piece by @jamesfransham you emailed in the "Off the charts" newsletter on how and why #Rstats rocks: it there a publically visible URL we can reference ? (And I pondered that question for earlier pieces too...)
/cc @MarieSegger@Sondreus