Stats PhD's Research Published in JASA

A paper from Statistical Science PhD Candidate Dan Kowal was recently accepted for publication in the Journal of the American Statistical Association (JASA). "A Bayesian Multivariate Functional Dynamic Linear Model" explores a multivariate time series of functional data and is available on the preprint repository, arXiv.

Coauthors on the paper are David S. Matteson, assistant professor of Statistical Science and Social Statistics at Cornell, and David Ruppert, Andrew Schulz Jr. professor of Engineering within Cornell's School of Operations Research and Information Engineering, and professor of Statistical Science.