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Information Criteria for Deciding between Normal Regression Models
Information Criteria Deciding between Normal Regression Models
2013/6/14
Regression models fitted to data can be assessed on their goodness of fit, though models with many parameters should be disfavored to prevent over-fitting. Statisticians' tools for this are little kno...
Deviance Information Criteria for Model Selection in Approximate Bayesian Computation
Approximate Bayesian computation evolutionary genetics statistical
2011/6/16
Approximate Bayesian computation (ABC) is a class of algorithmic
methods in Bayesian inference using statistical summaries and computer
simulations. ABC has become popular in evolutionary genetics a...
Deviance Information Criteria for Missing Data Models
completion deviance DIC EM algorithm MAP model comparison mixture model random effect model
2009/9/21
The deviance information criterion(DIC)introduced by Spiegelhalter et al.
(2002) for model assessment and model comparison is directly inspired by linear
and generalised linear models, but it is ope...
Generalized Information Criteria in Model Selection for Locally Stationary Processes
Generalized information criterion locally stationary process minimum distance estimation misspecified models time varying spectral density
2009/3/5
The problem of fitting a parametric model of time series with time varying parameters attracts our attention. We evaluate a goodness of time varying spectral models from an information theoretic point...
An improved method for model selection based on Information Criteria
improved method model selection Information Criteria
2010/4/26
Information criteria are an appropriate and widely
used tool for solving model selection problems. However, different
ways to use them exist, each leading to a more or less precise
approximation of...