Past, Present, and Future of Statistical Science
Nonparametric Bayes
Publication
, Chapter
Dunson, DB
January 1, 2014
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 Scholars
ISBN
9781482204964
Publication Date
January 1, 2014
Start / End Page
281 / 291
Citation
APA
Chicago
ICMJE
MLA
NLM
Dunson, D. B. (2014). Nonparametric Bayes. In Past, Present, and Future of Statistical Science (pp. 281–291).
Dunson, D. B. “Nonparametric Bayes.” In Past, Present, and Future of Statistical Science, 281–91, 2014.
Dunson DB. Nonparametric Bayes. In: Past, Present, and Future of Statistical Science. 2014. p. 281–91.
Dunson, D. B. “Nonparametric Bayes.” Past, Present, and Future of Statistical Science, 2014, pp. 281–91.
Dunson DB. Nonparametric Bayes. Past, Present, and Future of Statistical Science. 2014. p. 281–291.
ISBN
9781482204964
Publication Date
January 1, 2014
Start / End Page
281 / 291