A Bayesian Information Criterion for Singular Models [PDF]
SummaryWe 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 ...
Mathias Drton, Martyn Plummer
exaly +4 more sources
Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion [PDF]
In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the ...
Hang Wang, David Miller
doaj +2 more sources
Performance of Akaike Information Criterion and Bayesian Information Criterion in Selecting Partition Models and Mixture Models. [PDF]
AbstractIn molecular phylogenetics, partition models and mixture models provide different approaches to accommodating heterogeneity in genomic sequencing data. Both types of models generally give a superior fit to data than models that assume the process of sequence evolution is homogeneous across sites and lineages.
Liu Q +3 more
europepmc +3 more sources
Prior-based Bayesian information criterion [PDF]
We present a new approach to model selection and Bayes factor determination, based on Laplace expansions (as in BIC), which we call Prior-based Bayes Information Criterion (PBIC).
M. J. Bayarri +5 more
doaj +4 more sources
A discussion of ‘prior-based Bayesian information criterion’
We would like to thank the authors (Bayarri et al., 2018) for their interesting and provoking paper, and we wish to discuss some issues related to sample size in general and the number of covariate...
Jiahua Chen, Zeny Feng
doaj +2 more sources
Bayesian model evidence as a practical alternative to deviance information criterion [PDF]
While model evidence is considered by Bayesian statisticians as a gold standard for model selection (the ratio in model evidence between two models giving the Bayes factor), its calculation is often viewed as too computationally demanding for many ...
C. M. Pooley, G. Marion
doaj +4 more sources
BAYESIAN FACTOR ANALYSIS AND INFORMATION CRITERION [PDF]
Summary: Factor analysis is one of the most popular methods of multivariate statistical analysis. This technique has been widely used in the social and behavioral sciences to explore the covariance structure among observed variables in terms of a few unobservable variables.
Hirose, Kei +2 more
openaire +2 more sources
Bayesian Information Criterion for Censored Survival Models [PDF]
Summary.We investigate the Bayesian Information Criterion (BIG) for variable selection in models for censored survival data. Kass and Wasserman (1995,Journal of the American Statistical Association90, 928–934) showed that BIG provides a close approximation to the Bayes factor when a unit‐information prior on the parameter space is used.
Volinsky, Chris T., Raftery, Adrian E.
openaire +2 more sources
An RMT-based generalized Bayesian information criterion for signal enumeration
This paper provides a method for enumerating signals impinging on an array of sensors based on the generalized Bayesian information criterion (GBIC). The proposed method motivates by a statistic for testing the sphericity of the covariance matrix when ...
Shoucheng Yuan, Bin Zhang
doaj +1 more source
Segmentation in singer turns with the Bayesian information criterion [PDF]
As part of a project on indexing ethno-musicological audio recordings, segmentation in singer turns automatically appeared to be essential. In this article, we present the problem of segmentation in singer turns of musical recordings and our first experiments in this direction by exploring a method based on the Bayesian Information Criterion (BIC ...
Thlithi, Marwa +3 more
openaire +2 more sources

