Estimating the Dimension of a Model Export

@article{citeulike:90008, abstract = {The problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion. These terms are a valid large-sample criterion beyond the Bayesian context, since they do not depend on the a priori distribution.}, author = {Schwarz, Gideon}, citeulike-article-id = {90008}, citeulike-linkout-0 = {http://dx.doi.org/10.2307/2958889}, citeulike-linkout-1 = {http://www.jstor.org/stable/2958889}, doi = {10.2307/2958889}, issn = {00905364}, journal = {The Annals of Statistics}, keywords = {bayesian, bic}, number = {2}, pages = {461--464}, posted-at = {2007-08-02 06:53:22}, priority = {2}, publisher = {Institute of Mathematical Statistics}, title = {Estimating the Dimension of a Model}, url = {http://dx.doi.org/10.2307/2958889}, volume = {6}, year = {1978} }

TY - JOUR ID - citeulike:90008 L3 - citeulike-article-id:90008 N2 - The problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion. These terms are a valid large-sample criterion beyond the Bayesian context, since they do not depend on the a priori distribution. IS - 2 JF - The Annals of Statistics SN - 00905364 EP - 464 TI - Estimating the Dimension of a Model PB - Institute of Mathematical Statistics VL - 6 SP - 461 KW - bayesian KW - bic AU - Schwarz, Gideon PY - 1978/// UR - http://dx.doi.org/10.2307/2958889 ER -