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Factor analysis is over a century old, but it is still problematic to choose
the number of factors for a given data set. The scree test is popular but subjective. The best performing objective method...
A universal approximate cross-validation criterion and its asymptotic distribution
AIC cross entropy crossvalidation estimator choice Kullback-Leibler risk model selection ordered categorical observations psychometric tests
2012/6/29
A general framework is that the estimators of a distribution are obtained by minimizing a function (the estimating function) and they are assessed through another function (the assessment function). T...
Solving Underdetermined Tracer Inverse Problems by Spatial Smoothing and Cross Validation
Tracer Inverse Problems Spatial Smoothing Cross Validation
2008/12/18
Tracer conservation equations may be inverted to determine the flow field and macroscopic diffusion coefficients from known tracer distributions. An underdetermined system leads to an infinite number ...
$M$-cross-validation criterion is proposed for selecting a smoothing parameter in a nonparametric median regression model in which a uniform weak convergency rate for the $M$-cross-validated local med...