Model selection
Automated model selection with applications to Brazilian industrial production index
... automatic model selection algorithms, Autometrics (Hendry and Krolzig, 1999; Doornik, 2009), LASSOVAR and adaptive LASSOVAR (Callot et ...the model confidence set (Hansen et ...portfolio ...
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Protein structural model selection by combining consensus and single scoring methods.
... neural-network model decided whether they were structurally close or not in terms of their GDT scores to the native, and subsequently, the second model determined which one was closer to the ...best ...
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Development of a model selection method based on the reliability of a soft sensor model
... sensor model, a time difference (TD) model was proposed ...TD model has high predictive ability, the model does not function well when process conditions have never been ...sensor model ...
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Statistical power of model selection strategies for genome-wide association studies.
... these model selection methods also depends on the definition of ...genetic model in most of the model space ...the model space, and it is always better than the classic forward search ...
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Model selection and the molecular clock.
... statistical model selection and can be thought of as a trade-off between model accuracy and model ...a model fi ts the data at hand (accuracy) is always improved by adding more ...
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Model Selection in Historical Research Using Approximate Bayesian Computation.
... Bayesian model selection can be useful to the ...but model selection techniques are becoming popular beyond this applica- tion ...Bayesian model selection can be applied to ...
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Model selection emphasises the importance of non-chromosomal information in genetic studies.
... applied model selection criteria BIC to investigate the importance of both chromosomal and non-chromosomal information, as well as their interaction in describing col- ony size ...BIC model ...
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Aerosol model selection and uncertainty modelling by adaptive MCMC technique
... Fig. 4. The MCMC chains for the line densities for one selected GOMOS occultation. The horizontal axis runs with the simulation indexes, vertical axis being the simulated and accepted values for the line density for each ...
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Automatic model selection for forecasting Brazilian stock returns
... Os artigos dos Textos para Discussão da Escola de Economia de São Paulo da Fundação Getulio. Vargas são de inteira responsabilidade dos autores e não refletem necessariamente a opinião d[r] ...
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The importance of common cyclical features in VAR analysis: a Monte-Carlo study
... feature of the data, and if the lag order of the VAR (VEC) is known to be p, then theory tells us that the estimate of Φ with the correct rank-restrictions imposed must be more efficient than the unrestricted estimate of Φ ...
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Statistical modeling of fatigue crack growth rate in Inconel alloy 600
... A model that is too simple cannot capture the regularity in the data; thereby, estimates will be far away from the unknown reality that generated the data ...or model bias). A model that is too ...
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Increased avian diversity is associated with lower incidence of human West Nile infection: observation of the dilution effect.
... We also performed a linear regression model selection procedure in which we started with a maximal model that had the following predictors of the contrast for human incidence of WNV: spa[r] ...
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Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows
... best model. In our case study on a debris flow susceptibil- ity model, we investigate the sensitivity of model selection and quality to different sample sizes in light of the following ...
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Enhancing the selection of a model-based clustering with external categorical variables
... each model, based on y only, but to involve u in the model selection ...a model providing a good compromise between the mixture model fit to the data and its ability to lead to a ...
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Using latent selection difference to model persistence in a declining population.
... of model selection can suggest what might be responsible for the amount of deviance from a model, it may not encompass all biologically plausible ...AICc selection process even though it is ...
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Modelling loans and deposits during electoral years i n Romania
... (Automatic selection) Model selection method: Akaike info criterion (AIC) Dynamic regressors (12 lags, automatic): RD Fixed regressors: C @TREND ...
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Dynamic Redox Regulation of IL-4 Signaling.
... Fig 3. Qualitative model selection from a library indicates to more probable regulatory mechanisms. (A) The IL-4 network was divided into conceptual modules. The core module (blue box) comprises IL-4 ...
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A model-based approach for identifying signatures of ancient balancing selection in genetic data.
... balancing selection is based on consideration of the topology and branch lengths of within-species haplotype ...balancing selection, the underlying genealogy ...balancing selection will be narrow, ...
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Selection of an appropriately simple storm runoff model
... Expressing model performance in model efficiency (NSME; equivalent to normalising FPEC by the observed variance) removed the correlation with annual average QF (r = ...catchment model, was obtained ...
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