Pages that link to "Item:Q1922369"

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 50 items.

• Modeling microbial abundances and dysbiosis with beta-binomial regression (Q86089) (← links)
• Bayesian smoothing spline analysis of variance (Q98177) (← links)
• Regression in Tensor Product Spaces by the Method of Sieves (Q104871) (← links)
• Multi-Resolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments (Q147162) (← links)
• Multivariate Bernoulli distribution (Q373541) (← links)
• Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression (Q439162) (← links)
• D-MORPH regression for modeling with fewer unknown parameters than observation data (Q445417) (← links)
• Estimation in mixed-effects functional ANOVA models (Q476254) (← links)
• D-MORPH regression: Application to modeling with unknown parameters more than observation data (Q607593) (← links)
• Gene-centric gene-gene interaction: a model-based kernel machine method (Q714370) (← links)
• Component selection and smoothing in multivariate nonparametric regression (Q869970) (← links)
• Kernel methods in machine learning (Q930651) (← links)
• Regularized random-sampling high dimensional model representation (RS-HDMR) (Q937667) (← links)
• Encoding dissimilarity data for statistical model building (Q993793) (← links)
• Wavelet modeling of functional random effects with application to human vision data (Q993827) (← links)
• Multiple penalty regression: fitting and extrapolating a discrete incomplete multi-way layout (Q995797) (← links)
• Nonparametric spectral analysis with applications to seizure characterization using EEG time series (Q999670) (← links)
• Computational techniques for spatial logistic regression with large data sets (Q1019998) (← links)
• Nonparametric regression with correlated errors. (Q1431197) (← links)
• Hypercube estimators: penalized least squares, submodel selection, and numerical stability (Q1621345) (← links)
• Nonlinear surface regression with dimension reduction method (Q1622091) (← links)
• Projection estimation in multiple regression with application to functional ANOVA models (Q1807077) (← links)
• Backfitting in smoothing spline ANOVA (Q1807152) (← links)
• Tensor product space ANOVA models. (Q1848797) (← links)
• Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV. (Q1848843) (← links)
• Random rates in anisotropic regression. (With discussion) (Q1848941) (← links)
• How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set? (Q1877843) (← links)
• Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation (Q2039786) (← links)
• Symmetrical and non-symmetrical variants of three-way correspondence analysis for ordered variables (Q2075708) (← links)
• Quasi-interpolation for multivariate density estimation on bounded domain (Q2079355) (← links)
• \(C^4\) interpolation and smoothing exponential splines based on a sixth order differential operator with two parameters (Q2107275) (← links)
• Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations (Q2143016) (← links)
• A joint estimation approach to sparse additive ordinary differential equations (Q2172119) (← links)
• Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions (Q2273140) (← links)
• Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates (Q2502135) (← links)
• Testing in mixed-effects FANOVA models (Q2507894) (← links)
• Geometrically designed variable knot splines in generalized (non-)linear models (Q2673954) (← links)
• Generalized extreme value additive model analysis via mean field variational Bayes (Q2802758) (← links)
• On the Built-in Restrictions in Linear Mixed Models, with Application to Smoothing Spline Analysis of Variance (Q3562432) (← links)
• Grkpack fitting smoothing spline anova models for exponential families (Q4369376) (← links)
• Grkpack fitting smoothing spline anova models for exponential families (Q4387634) (← links)
• An algorithm for generalized monotonic smoothing (Q4493503) (← links)
• Metamodel construction for sensitivity analysis (Q4606427) (← links)
• Model building with likelihood basis pursuit (Q4657708) (← links)
• Inference in Smoothing Spline Analysis of Variance (Q4672169) (← links)
• Thin Plate Regression Splines (Q4673754) (← links)
• (Q4969158) (← links)
• (Q5053286) (← links)
• Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression (Q5066471) (← links)
• Introduction to the special issue on Data Science for COVID-19 (Q5102527) (← links)