A night of talks from developers and users of the R Statistical Programming language – including potentially you! Food and drink, of various options will be provided by IBM. Doors open at 5:00 and we'll start building the speaker queue to get started at 5:30ish.
UPDATE: We have a few early submissions already!
- "R for Explainable Stock Price Predictions”, by Sou-Cheng Terrya Choi, PhD.
- "James-Stein Estimation - An Unexpected Fact: Some R, some Stats, and some Finance", by Adam Ginensky, PhD.
-"Try BLIS: Benchmarking competing Basic Linear Algebra Subprograms", by Justin Shea
- And more!
We will have a laptop and projector so you can bring slides rendered on .html or pdf, or even publish on https://rpubs.com/. Or, bring your own laptop, but compatibility beyond HDMI might be an issue so message us if your planning on doing so. Examples of topics to talk about: single functions you find useful, statistical methods, a live coding exercise, infrastructure, productivity tips, R coding philosophy, hardware choices, and more! Peripheral topics such as DB applications and other languages welcome too.
R/Finance was born out of similar open source conversations 11 years ago, whose founders would go on to create some of the most used R packages in existence. But the way some tell it, it was first about collaboration among open source folks in an informal setting!