Hierarchical dirichlet processes

@misc{citeulike:472985, abstract = {We consider problems involving groups of data, where each observation within a group is a draw from a mixture model, and where it is desirable to share mixture components both within and between groups. We assume that the number of mixture components is unknown a priori and is to be inferred from the data. In this setting it is natural to consider sets of Dirichlet processes, one for each group, where the well-known clustering property of the Dirichlet process provides a nonparametric...}, author = {Teh, Y. and Jordan, M. and Beal, M. and Blei, D. }, citeulike-article-id = {472985}, keywords = {bayesian, dirichlet, hierarchical}, posted-at = {2006-12-13 20:41:54}, priority = {2}, title = {Hierarchical dirichlet processes}, url = {http://citeseer.ist.psu.edu/teh03hierarchical.html}, year = {2003} }

TY - GEN ID - citeulike:472985 L3 - citeulike-article-id:472985 TI - Hierarchical dirichlet processes N2 - We consider problems involving groups of data, where each observation within a group is a draw from a mixture model, and where it is desirable to share mixture components both within and between groups. We assume that the number of mixture components is unknown a priori and is to be inferred from the data. In this setting it is natural to consider sets of Dirichlet processes, one for each group, where the well-known clustering property of the Dirichlet process provides a nonparametric... KW - bayesian KW - dirichlet KW - hierarchical AU - Teh, Y AU - Jordan, M AU - Beal, M AU - Blei, D PY - 2003/// UR - http://citeseer.ist.psu.edu/teh03hierarchical.html ER -