Bayesian information criterion accounting for the number of covariance parameters in mixed effects models
نویسندگان
چکیده
منابع مشابه
Bayesian Optimum Design Criterion for Multi Models Discrimination
The problem of obtaining the optimum design, which is able to discriminate between several rival models has been considered in this paper. We give an optimality-criterion, using a Bayesian approach. This is an extension of the Bayesian KL-optimality to more than two models. A modification is made to deal with nested models. The proposed Bayesian optimality criterion is a weighted average, where...
متن کاملBayesian information criterion for censored survival models.
We investigate the Bayesian Information Criterion (BIC) for variable selection in models for censored survival data. Kass and Wasserman (1995, Journal of the American Statistical Association 90, 928-934) showed that BIC provides a close approximation to the Bayes factor when a unit-information prior on the parameter space is used. We propose a revision of the penalty term in BIC so that it is d...
متن کاملA Bayesian information criterion for singular models
We consider approximate Bayesian model choice for model selection problems that involve models whose Fisher-information matrices may fail to be invertible along other competing submodels. Such singular models do not obey the regularity conditions underlying the derivation of Schwarz’s Bayesian information criterion (BIC) and the penalty structure in BIC generally does not reflect the frequentis...
متن کاملAccounting for Speaker Variation in the Production of Prominence using the Bayesian Information Criterion
This study investigated speaker variation in the production of various acoustic cues of prominence, including durational and intensity measures. This study stems from our prior work where we used the Bayesian Information Criterion to determine whether each cue were gradiently or discretely associated with prominence. In our prior work, we found that features vary as to whether they are gradient...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2020
ISSN: 2383-4757
DOI: 10.29220/csam.2020.27.3.301