Introductory statistics courses (particularly when they’re taught outside of the statistics department) often gloss over the details of the central limit theorem, describing it only as something that let’s you do t-tests without worrying about normality. I recently came across … Read more
Echo-state networks (ESN’s) are a class of neural network designed to work with temporal data. I normally don’t like neural networks, since they rarely actually tell you anything interpretable about your data (and they pretty much just do regression anyway), … Read more
I’ve been experimenting with techniques for robust regression, and I thought that it would be a fun excercise to implement a robust variant of the simple linear regression model based on the t-distribution.
The term “outlier” is used very … Read more
I recently collaborated on a meta-analysis investigating the effects of blast-related (i.e. *BOOM*) mild traumatic brain injury (mTBI) on cognitive performance (Karr, et al. 2014). Each of the eight included studies used control and mTBI groups, and reported means and … Read more
Meta-analysis is, broadly, a set of statistical models for combining the results of several research studies in order to summarize the literature, or estimate an effect more precisely than can be done by a single study alone. The actual process … Read more