Data science, statistics, and psychology
I ve been thinking about statistical paradoxes lately. They crop up all over the place, and they make for fun little puzzles. In this blog I ll talk about two paradoxes that can occur when doing omnibus statistical tests. Relevant code is attached as a gist at the bottom of the page. 1) A common paradox There s Continue reading Statistical paradoxes and omnibus tests
I ve had a bit of blogger s block lately (read: the last two years). I have a tendency to write half of a blog post and then scrap it because I don t think it s that interesting. Well, my goal this year is to get over it. So to start I decided I want to highlight some Continue reading My friends did some cool science in 2018
TLDR: I typed up some of my technical notes where I derive the Kullback-Leibler divergence for some common distributions. Find them here on PsyArXiv. The Kullback-Leibler (KL) divergence is a concept that arises pretty frequently across many different areas of statistics. I recently found myself needing to use the KL divergence for a particular Bayesian Continue reading Some Technical Notes on…
With the new school year upon us, I figured this was a good time to reflect on all that happened with me over the past year or so. It was an exciting year, that included a lot of new collaborations and traveling all over the place. Let me bring you up to speed on what s Continue reading Where have I been? (looking back on the last year)
I recently gave a lab presentation on the work we have been doing to attempt to mitigate the nefarious effects of publication bias, and I thought I d share the slides here. The first iteration of the method (details given in Guan and Vandekerckhove, 2016), summarized in the first half of the slides, could be applied to Continue reading Slides: Bayesian Bias Correction: Critically evaluating sets…