A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems
Publication
, Journal Article
Gelfand, A; Kottas, A
Published in: Journal of Computational and Graphical Statistics
2002
Duke Scholars
Published In
Journal of Computational and Graphical Statistics
Publication Date
2002
Volume
114
Start / End Page
289 / 305
Related Subject Headings
- Statistics & Probability
- 1403 Econometrics
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Gelfand, A., & Kottas, A. (2002). A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems. Journal of Computational and Graphical Statistics, 114, 289–305.
Gelfand, A., and A. Kottas. “A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems.” Journal of Computational and Graphical Statistics 114 (2002): 289–305.
Gelfand A, Kottas A. A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems. Journal of Computational and Graphical Statistics. 2002;114:289–305.
Gelfand, A., and A. Kottas. “A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems.” Journal of Computational and Graphical Statistics, vol. 114, 2002, pp. 289–305.
Gelfand A, Kottas A. A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems. Journal of Computational and Graphical Statistics. 2002;114:289–305.
Published In
Journal of Computational and Graphical Statistics
Publication Date
2002
Volume
114
Start / End Page
289 / 305
Related Subject Headings
- Statistics & Probability
- 1403 Econometrics
- 0104 Statistics