Hierarchical Dirichlet processes with random effects

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 697-704

  Kim, Seyoung ^a   Smyth, Padhraic ^a  

^a Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETERMINATION; BRAIN ACTIVATION; COMPONENT PARAMETERS; DATA SETS; ESTIMATE MODEL; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GROUP LEVEL; HIERARCHICAL DIRICHLET PROCESS; MARKOV CHAIN MONTE CARLO; MIXING PROPORTIONS; MIXTURE MODEL; MULTIPLE IMAGE; MULTIPLE-GROUP; NUMBER OF COMPONENTS; RANDOM EFFECTS; RANDOM EFFECTS MODEL; SAMPLING ALGORITHM;

MAGNETIC RESONANCE IMAGING; MIXING;

RANDOM PROCESSES;

EID: 34548534637     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Gelman, A., Carlin, J., Stern, H. & Rubin, D. (2004) Bayesian Data Analysis, New York: Chapman & Hall/CRC.
2. Gelman, A. (2006). Prior distribution for variance parameters in hierarchical models. Bayesian Analysis, 1(3):515-533.
3. Kim, S., Smyth, P., & Stern, H. (2006). A nonparametric Bayesian approach to detecting spatial activation patterns in fMRI data. Proceedings of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention, vol. 2, pp.217-224.
4. Neal, R.M. (1998) Markov chain sampling methods for Dirichlet process mixture models. Technical Report 4915, Department of Statistics, University of Toronto.
5. Penny, W. & Friston, K. (2003) Mixtures of general linear models for functional neuroimaging. IEEE Transactions on Medical Imaging, 22(4):504-514.
6. Rasmussen, C.E. (2000) The infinite Gaussian mixture model. Advances in Neural Information Processing Systems 12, pp. 554-560. MIT Press.
7. Rasmussen, C.E. & Ghahramani, Z. (2002) Infinite mixtures of Gaussian process experts. Advances in Neural Information Processing Systems 14, pp. 881-888. MIT Press.
8. Sethuraman, J. (1994) A constructive definition of Dirichlet priors. Statistica Sinica, 4:639-650.
9. Sudderth, E., Torralba, A., Freeman, W. & Willsky, A. (2005). Describing visual scenes using transformed Dirichlet Processes. Advances in Neural Information Processing Systems 18, pp. 1297-1304. MIT Press.
10. Teh, Y.W., Jordan,M.I., Beal,M.J. & Blei, D.M. (2006). Hierarchical Dirichlet processes. Journal of American Statistical Association, To appear.