First Page | Document Content | |
---|---|---|
![]() Date: 2012-02-24 09:20:37Bayesian statistics Probability distributions Mixture model Posterior predictive distribution Hidden Markov model Normal distribution Hyperparameter Prior probability Dirichlet distribution RT Image segmentation Dirichlet-multinomial distribution | Add to Reading List |
![]() | Predictive probabilities for normal outcomes John Cook September 15, 2011 Suppose Y ∼ normal(θ, σ 2 ) and a priori θ ∼ normal(µ, τ ). After observing y1 , y2 , . . . , yn the posterior distribution on θ is normDocID: 1u4BG - View Document |
![]() | VOLUME 14 JOURNAL OF CLIMATE 1 DECEMBER 2001DocID: 1p6WL - View Document |
![]() | output/maye11bayesian.dviDocID: 1oC0g - View Document |
![]() | Bayesian Analysis, Number 4, pp. 631–652 Hierarchical Bayesian Modeling of Hitting Performance in BaseballDocID: 1nU27 - View Document |
![]() | Power Weighted Densities for Time Series DataDocID: 1nDIi - View Document |