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Showing 1 to 4 of 4 for “"Spline methods"”.

  1. A comparison of some methods of modeling baseline hazard function in discrete survival models

    … of three variants of penalised regression spline methods in smoothing the baseline hazard function. Root mean squared error (RMSE) analysis suggests that generally all the smoothing methods performed better than the model with a discrete baseline hazard function. No single smoothing method …

    venda Repository record for A comparison of some methods of modeling baseline hazard function in discrete survival models (opens in a new tab)

  2. A comparison of statistical and geometric reconstruction techniques : guidelines for correcting fossil hominin crania

    … to reconstruction, including thin plate spline methods, mirroring, and regression-based approaches. The efficacy of these techniques remains to be demonstrated, and it is not clear how different parameters (e.g., sample sizes, landmark density, etc.) might effect their accuracy. In order …

    cape-town Repository record for A comparison of statistical and geometric reconstruction techniques : guidelines for correcting fossil hominin crania (opens in a new tab)

  3. Adaptive Spline Method for the Assessment of Cell Motility and its Application to Lesions

    … images of leg ulcers.<br/><br/>A piecewise cubic spline interpolation was used to describe cells by their boundary. The spline model was extended into the time domain with a deterministic relocation technique to facilitate tracking of cells, thus forming a new adaptive spline model.<br/><br/>The …

    southwales Repository record for Adaptive Spline Method for the Assessment of Cell Motility and its Application to Lesions (opens in a new tab)

  4. Model-Free Variable Screening, Sparse Regression Analysis and Other Applications with Optimal Transformations

    <p>Variable screening and variable selection methods play important roles in modeling high dimensional data. Variable screening is the process of filtering out irrelevant variables, with the aim to reduce the dimensionality from ultrahigh to high while retaining all important variables. Variable …

    purdue-thes Repository record for Model-Free Variable Screening, Sparse Regression Analysis and Other Applications with Optimal Transformations (opens in a new tab)