Nonparametric Bayes

Book Section

I reflect on the past, present, and future of nonparametric Bayesian statistics. Current nonparametric Bayes research tends to be split between theoretical studies, seeking to understand relatively simple models, and machine learning, defining new models and computational algorithms motivated by practical performance. I comment on the current landscape, open problems and promising future directions in modern big data applications.

Duke Authors

Cited Authors

  • Dunson, DB

Published Date

  • January 1, 2014

Book Title

  • Past, Present, and Future of Statistical Science

Start / End Page

  • 281 - 291

International Standard Book Number 13 (ISBN-13)

  • 9781482204964

Citation Source

  • Scopus