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Showing 1 to 7 of 7 for “"model parsimony"”.

  1. Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk

    … as radiation pneumonitis: RP). In practice, modeling RP factors is difficult because existing data are under-sampled and imbalanced. Support vector machines: SVMs), a class of statistical learning methods that implicitly maps data into a higher dimensional space, is one machine learning …

    wustl Repository record for Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk (opens in a new tab)

  2. Yawing effects in wind power plants: stochastic wake modeling and control

    The success of model-based closed-loop yaw control strategies relies on the accuracy of models that are used to estimate the spatio-temporal attributes of wakes behind wind turbines. We utilize a stochastic dynamical modeling framework to develop reduced-order models of wind farm turbulence that …

    tdl Repository record for Yawing effects in wind power plants: stochastic wake modeling and control (opens in a new tab)

  3. Observations and theories: cognitive mechanisms of discovery

    … on this insight to re-examine the principle of model parsimony in science, identifying contexts where the preference for simpler scientific models could either facilitate or impede scientific progress. The third part broadens the scope by analyzing social aspects that influence the emergence and …

    iu Repository record for Observations and theories: cognitive mechanisms of discovery (opens in a new tab)

  4. Institutional segmentation of equity markets: causes and consequences

    … improves both explained variance in IO and model parsimony (essentially requiring just one input: market capitalization). Our evidence clearly establishes a role for both implementation costs and agency considerations in explaining segmentation effects. Implementation costs bind for larger, …

    vt Repository record for Institutional segmentation of equity markets: causes and consequences (opens in a new tab)

  5. Towards an Explanation of Overeating Patterns Among Normal Weight College Women: Development and Validation of a Structural Equation Model

    … and various eating patterns is growing, a model which explains the mechanisms through which these factors may operate is lacking. A model to explain overeating patterns among normal weight college females was developed and tested. The model contained the following variables: global …

    vt Repository record for Towards an Explanation of Overeating Patterns Among Normal Weight College Women: Development and Validation of a Structural Equation Model (opens in a new tab)

  6. The Unified Approach for Model Evaluation in Structural Equation Modeling

    Practical fit indices have been widely used for model fit evaluation in Structural Equation Modeling. This dissertation discusses the properties of the fit indices including their influencing factors. These properties prevent researchers from deriving one-size-fit-all cutoffs for the fit indices. …

    ku Repository record for The Unified Approach for Model Evaluation in Structural Equation Modeling (opens in a new tab)

  7. Development and validation of risk prediction model for colorectal cancer in patients with gastrointestinal symptoms

    … could be enhanced through risk prediction models. Prediction model research includes model development (the multivariable prediction model selects influential predictor variables and estimates regression coefficients), validation (internal validation; external validation), and impact …

    edinburgh Repository record for Development and validation of risk prediction model for colorectal cancer in patients with gastrointestinal symptoms (opens in a new tab)