Ben Barnard is a Data Scientist at Wells Fargo and a Statistics Instructor at the University of South Alabama. His research interests include Bayesian methods, statistical programming, teaching statistics, and using common sense in data science. He currently leads the development of several R and python packages, and production models at Wells Fargo. Outside of work Ben likes to spend time with his family, working on the house, competing in triathlons, and speaking at conferences.
PhD in Statistical Sciences, 2018
Baylor University
MS in Statistical Sciences, 2016
Baylor University
MSEd in Exercise Physiology, 2013
Baylor University
BS in Exercise Science, 2011
University of Texas at Arlington
Responsibilities include:
Responsibilities include:
Responsibilities include:
Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance matrix testing described by …
Provides likelihood functions as defined by Fisher (1922) doi:10.1098/rsta.1922.0009 and a function that creates likelihood functions …
An expansion of R’s ‘stats’ random wishart matrix generation. This package allows the user to generate singular, …