regression spline造句
例句與造句
- An important concept associated with regression splines is that of a knot.
- Multivariate and adaptive regression spline approach deliberately overfits the model and then prunes to get to the optimal model.
- Multivariate adaptive regression splines ( MARS ) is a non-parametric technique that builds flexible models by fitting piecewise linear regressions.
- A few examples are linear least squares, smoothing splines, regression splines, local regression, kernel regression, and linear filtering
- Instead of steam shovels, Fair, Isaac uses " multiple adaptive regression splines, " neural networks and other statistical analysis techniques to help clients dig through data and glean useful predictors about their customers and business prospects.
- It's difficult to find regression spline in a sentence. 用regression spline造句挺難的
- As a result, alternative methods have been developed in which smooth functions are represented semi-parametrically, using penalized regression splines, in order to allow computationally efficient estimation of the degree of smoothness of the model components using generalized cross validation or similar criteria.
- The classical data-driven methods for nonlinear system prediction include the use of stochastic models such as the autoregressive ( AR ) model, the threshold AR model, the bilinear model, the projection pursuit, the multivariate adaptive regression splines, and the Volterra series expansion.
- "But I recommend specifying the model to make it more likely to fit up front ( especially with regard to relaxing linearity assumptions using regression splines ) and using the bootstrap to estimate overfitting and to get an overfitting-corrected high-resolution smooth calibration curve to check absolute accuracy.