%0 Journal Article %1 Schwarz1978 %A Schwarz, Gideon %D 1978 %I Institute of Mathematical Statistics %J The annals of statistics %K bayes degreesoffreedom modeling %N 2 %P 461--464 %T Estimating the dimension of a model %U http://scholar.google.com/scholar.bib?q=info:sskrpr5jlLwJ:scholar.google.com/&output=citation&hl=en&as_sdt=2000&ct=citation&cd=0 %V 6 %X 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.

@article{Schwarz1978, 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.}, added-at = {2009-12-11T14:22:45.000+0100}, author = {Schwarz, Gideon}, biburl = {https://www.bibsonomy.org/bibtex/21f66258366b33705d598c22e44ca6ba6/tmalsburg}, interhash = {6b480223b0df6bd10504863cede240c5}, intrahash = {1f66258366b33705d598c22e44ca6ba6}, journal = {The annals of statistics}, keywords = {bayes degreesoffreedom modeling}, number = 2, pages = {461--464}, publisher = {Institute of Mathematical Statistics}, timestamp = {2009-12-11T14:22:45.000+0100}, title = {{Estimating the dimension of a model}}, url = {http://scholar.google.com/scholar.bib?q=info:sskrpr5jlLwJ:scholar.google.com/&output=citation&hl=en&as_sdt=2000&ct=citation&cd=0}, volume = 6, year = 1978 }