Pages that link to "Item:Q951856"

The following pages link to Smoothing parameter selection for smoothing splines: a simulation study (Q951856):

Displaying 37 items.

• A nonparametric approach to measuring the sensitivity of an asset's return to the market (Q315467) (← links)
• Simulating 2D waves propagation in elastic solid media using wavelet based adaptive method (Q618529) (← links)
• A comparative study of nonparametric estimation in Weibull regression: a penalized likelihood approach (Q901574) (← links)
• On knot placement for penalized spline regression (Q955854) (← links)
• Derivatives diagnostics and robustness for smoothing splines (Q956930) (← links)
• Estimation in hazard regression models under ordered departures from proportionality (Q957030) (← links)
• A class of template splines (Q959429) (← links)
• Comparing measures of model selection for penalized splines in Cox models (Q961686) (← links)
• A new method for finding the optimal smoothing parameter for the abstract smoothing spline (Q979031) (← links)
• A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem (Q1078973) (← links)
• Spline smoothing with an estimated order parameter (Q1314467) (← links)
• Is \(C_{p}\) an empirical Bayes method for smoothing parameter choice? (Q1423096) (← links)
• A comparison of regression spline smoothing procedures (Q1424601) (← links)
• Improved smoothing spline regression by combining estimates of different smoothness (Q1771285) (← links)
• Multiresolution based adaptive schemes for second order hyperbolic PDEs in elastodynamic problems (Q1789007) (← links)
• Selection criteria for scatterplot smoothers (Q1848868) (← links)
• A note on smoothing parameter selection for penalized spline smoothing (Q1888828) (← links)
• Nonparametric imputation method for nonresponse in surveys (Q1985959) (← links)
• Performance criteria and discrimination of extreme undersmoothing in nonparametric regression (Q2250696) (← links)
• Enhancement of spatially adaptive smoothing splines via parameterization of smoothing parameters (Q2445811) (← links)
• Fast and accurate inference for the smoothing parameter in semiparametric models (Q2802824) (← links)
• Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models (Q2903134) (← links)
• (Q2971563) (← links)
• Trend smoothness achieved by penalized least squares with the smoothing parameter chosen by optimality criteria (Q2974951) (← links)
• Regularized Semiparametric Model Identification with Application to Nuclear Magnetic Resonance Signal Quantification with Unknown Macromolecular Base-Line (Q3408540) (← links)
• Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems (Q3632637) (← links)
• Smoothing and forecasting mortality rates (Q4675955) (← links)
• Implicit Surface Reconstruction With a Curl-Free Radial Basis Function Partition of Unity Method (Q5038406) (← links)
• Optimum shrinkage parameter selection for ridge type estimator of Tobit model (Q5065265) (← links)
• A model-averaging approach for smoothing spline regression (Q5087515) (← links)
• Моделирование температурного отклика системы чугун-бетон при активном тепловом неразрушающем контроле (Q5111554) (← links)
• Functional Modelling of Microarray Time Series (Q5148451) (← links)
• The smoothing parameter, confidence interval and robustness for smoothing splines (Q5460700) (← links)
• Smoothing Parameter Selection in two Frameworks for Penalized Splines (Q5743155) (← links)
• Bayesian taut splines for estimating the number of modes (Q6573305) (← links)
• Estimating trends with percentage of smoothness chosen by the user (Q6574224) (← links)
• Constrained Varying-Coefficient Model for Time-Course Experiments in Soft Tissue Fabrication (Q6631886) (← links)