Pages that link to "Item:Q1922369"
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The following pages link to Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture) (Q1922369):
Displaying 13 items.
- Modeling of Hormone Secretion‐Generating Mechanisms with Splines: A Pseudo‐Likelihood Approach (Q5427418) (← links)
- Soft and hard classification by reproducing kernel Hilbert space methods (Q5460740) (← links)
- Functional analysis of variance for Hilbert-valued multivariate fixed effect models (Q5739689) (← links)
- Analysis of variance in nonparametric regression models (Q5929501) (← links)
- Kernel Ordinary Differential Equations (Q6110694) (← links)
- Fast algorithms for interpolation and smoothing for a general class of fourth order exponential splines (Q6141536) (← links)
- A penalized least product relative error loss function based on wavelet decomposition for non-parametric multiplicative additive models (Q6175195) (← links)
- Smoothing Spline ANOVA Models (Q6483560) (← links)
- Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling (Q6561270) (← links)
- Regularized GMM for time-varying models with applications to asset pricing (Q6572252) (← links)
- Estimation of a clustering model for non Gaussian functional data (Q6588675) (← links)
- Nonparametric covariance estimation with shrinkage toward stationary models (Q6601108) (← links)
- Non parametric maximin aggregation for data with inhomogeneity (Q6641328) (← links)
