Results 31 to 40 of about 396,010 (290)
A Pragmatic Approach to Statistical Testing and Estimation (PASTE)
Health Professions Education, 2018 The p-value has dominated research in education and related fields and a statistically non-significant p-value is quite commonly interpreted as ‘confirming’ the null hypothesis (H0) of ‘equivalence’.
Jimmie Leppink
doaj +1 more source
Economies, 2020 Only unstructured single-path model selection techniques, i.e., Information Criteria, are used by Bounds test of cointegration for model selection.
Waqar Badshah, Mehmet Bulut
doaj +1 more source
Model Selection Principles in Misspecified Models [PDF]
, 2016 Model selection is of fundamental importance to high dimensional modeling featured in many contemporary applications. Classical principles of model selection include the Kullback-Leibler divergence principle and the Bayesian principle, which lead to the ...
Akaike +35 more
core +1 more source
A note on identification constraints and information criteria in Bayesian latent variable models
Behavior Research Methods, 2021 It is well known that, in traditional SEM applications, a scale must be set for each latent variable: typically, either the latent variance or a factor loading is fixed to one. While this has no impact on the fit metrics in ML estimation, it can potentially lead to varying Bayesian model comparison metrics due to the use of different prior ...
Benjamin Graves, Edgar C. Merkle
openaire +3 more sources
Optimal designs for nonlinear regression models with respect to non-informative priors [PDF]
, 2013 In nonlinear regression models the Fisher information depends on the parameters of the model. Consequently, optimal designs maximizing some functional of the information matrix cannot be implemented directly but require some preliminary knowledge about ...
Burghaus, Ina, Dette, Holger
core +2 more sources
ON THE COMPARISON OF BAYESIAN INFORMATION CRITERION AND DRAPER'S INFORMATION CRITERION IN SELECTION OF AN ASYMMETRIC PRICE RELATIONSHIP: BOOTSTRAP SIMULATION RESULTS [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2013 Alternative formulations of the Bayesian Information Criteria provide a basis for choosing between competing methods for detecting price asymmetry. However, very little is understood about their performance in the asymmetric price transmission modelling ...
Henry de-Graft Acquah, Joseph Acquah
doaj
Entropy, 2019 We show a link between Bayesian inference and information theory that is useful for model selection, assessment of information entropy and experimental design.
Sergey Oladyshkin, Wolfgang Nowak
doaj +1 more source
Model selection with multiple regression on distance matrices leads to incorrect inferences. [PDF]
PLoS ONE, 2017 In landscape genetics, model selection procedures based on Information Theoretic and Bayesian principles have been used with multiple regression on distance matrices (MRM) to test the relationship between multiple vectors of pairwise genetic, geographic,
Ryan P Franckowiak +6 more
doaj +1 more source
International Journal of Analysis and Applications, 2023 The purpose of this study is to show how the admission criteria can predict first-year college students’ performance. The study uses the data of the students’ high school GPA (HSGPA) and the scores of the Prerequirement standardized tests in the Kingdom ...
Lulah Alnaji
doaj +1 more source
Extended Bayesian information criteria for model selection with large model spaces [PDF]
Biometrika, 2008 SUMMARY The ordinary Bayesian information criterion is too liberal for model selection when the model space is large. In this paper, we re-examine the Bayesian paradigm for model selection and propose an extended family of Bayesian information criteria, which take into account both the number of unknown parameters and the complexity of the model space.
Chen, J., Chen, Z.
openaire +2 more sources