Cross-Validation Methods.

By Michael W. Browne. Journal of Mathematical Psychology, 2000

1,195 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ad1ecee0701f871457760b95f6d275e214bcf503

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

In Statistics and Probability

Citations in the corpus

Improved Shrinkage Estimation of Squared Multiple Correlation Coefficient and Squared Cross-Validity Coefficient (2008, methodology): “Furthermore, Raju, Bilgic, Edwards, and Fleer (1999) conducted a Monte Carlo study to evaluate the performance of seven renowned estimators using the data from 84,808 U.S. Air Force enlistees as the population for repeated sampling. On the basis of an eight-predictor linear regression setting, Raju ”
Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. (2004, methodology): “Model selection is a useful tool for research, but it is not a substitute for careful thinking and common sense reasoning (Browne, 2000).”
An Introduction to Model Selection. (2000, methodology): “For a more comprehensive account of cross-validation methods see Browne (2000).”
Reliable estimation of prediction errors for QSAR models under model uncertainty using double cross-validation (2014, neutral): “There are various kinds of cross-validation which split the original data differently into construction and validation data [28,47,48].”
Choosing prediction over explanation in psychology: Lessons from machine learning (2017, methodology): “Cross-validation refers to a family of techniques that involve training and testing a model on different samples of data (Browne, 2000; Shao, 1993).”
DEALINGWITHUNCERTAINTY INAGENT-BASED SIMULATION:FARM-LEVELMODELING OFADAPTATION TOCLIMATECHANGE INSOUTHWESTGERMANY (2015, methodology): “For exclusion, we followed the basic principles of classical cross-validation (Browne 2000) that suggest to stop the process of calibration to an observation dataset when the goodnessof-fit to an unrelated test sample, which will usually increase at first, starts to decrease because this is usually ”
A measurement scale for indecisiveness and its relationship to career indecision and other types of indecision (2002, methodology): “In order to investigate the stability of the structural equation models under cross-validation – and to avoid splitting the available data – the expected cross validation index (ECVI) can be used (Browne & Cudeck, 1989; Browne, 2000).”
Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching (2009, positive): “Thus, Browne (2000) argued that the sample size dependence of information indexes like the Akaike's Information Criterion (AIC) is appropriate from a cross-validation perspective; to select the model whose parameter estimates are most trustworthy in relation to a particular sample size.”
Mathematical Modeling (2012, neutral): “Two other measures, cross-validation (CV; Browne, 2000) and accumulative prediction error (APE; Dawid, 1984; Wagenmakers, Grunwald, & Steyvers, 2006) assess generalizability by actually evaluating the model’s performance against “future” data.”
Cognitive Emotion Regulation and Psychopathology across Cultures: A Comparison between Six European Countries (2016, result): “A cross-validation analysis (Browne, 2000) was used to test whether the relationships between specific cognitive strategies and symptoms of anxiety were consistent with those in the Dutch sample.”
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory (2010, methodology): “In regular statistical models, the leave-one-out cross-validation is asymptotically equivalent to AIC [Akaike 74] in the maximum likelihood method [Stone 77, Linhart 86, Browne 00].”