The following pages link to Smoothing Spline ANOVA Models (Q6483560):
Displaying 46 items.
- Bayesian smoothing spline analysis of variance (Q98177) (← links)
- Efficient two-dimensional smoothing with \(P\)-spline ANOVA mixed models and nested bases (Q333687) (← links)
- \(M\)-type smoothing spline ANOVA for correlated data (Q604343) (← links)
- The smoothing effect of the ANOVA decomposition (Q708315) (← links)
- Designs for smoothing spline ANOVA models (Q811795) (← links)
- Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing (Q965145) (← links)
- Smoothing spline ANOPOW (Q993825) (← links)
- Backfitting in smoothing spline ANOVA (Q1807152) (← links)
- Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture) (Q1922369) (← links)
- Sparse mixture models inspired by ANOVA decompositions (Q2071472) (← links)
- A Characterization of the Log-Density Smoothing Spline ANOVA Model (Q2920021) (← links)
- Smoothing Splines (Q3002171) (← links)
- Grkpack fitting smoothing spline anova models for exponential families (Q4369376) (← links)
- Model diagnostics for smoothing spline ANOVA models (Q4673113) (← links)
- A model-averaging approach for smoothing spline regression (Q5087515) (← links)
- Efficient calibration of computer models with multivariate output (Q6536700) (← links)
- Gradual variance change point detection with a smoothly changing mean trend (Q6541720) (← links)
- Low-rank approximation for smoothing spline via eigensystem truncation (Q6541765) (← links)
- Nonparametric regression with ordinal responses (Q6541777) (← links)
- Efficient basis selection for smoothing splines via rotated lattices (Q6548830) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling (Q6561270) (← links)
- M-estimation for varying coefficient models with a functional response in a reproducing kernel Hilbert space (Q6565311) (← links)
- ANOVA approximation with mixed tensor product basis on scattered points (Q6565854) (← links)
- Guaranteed Functional Tensor Singular Value Decomposition (Q6567895) (← links)
- A model calibration procedure for count response (Q6571745) (← links)
- Smoothing regression and impact measures for accidents of traffic flows (Q6571993) (← links)
- A new \(L_2\) calibration procedure of computer models based on the smoothing spline ANOVA (Q6579406) (← links)
- Implicit profiling estimation for semiparametric models with bundled parameters (Q6581323) (← links)
- Penalized spline estimation of principal components for sparse functional data: rates of convergence (Q6589574) (← links)
- Robust estimators of functional single index models for longitudinal data (Q6597413) (← links)
- On sufficient dimension reduction for functional data: inverse moment-based methods (Q6600368) (← links)
- Nonparametric covariance estimation with shrinkage toward stationary models (Q6601108) (← links)
- A review on computer model calibration (Q6604366) (← links)
- A nonparametric mixed-effects mixture model for patterns of clinical measurements associated with COVID-19 (Q6616344) (← links)
- Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method (Q6617758) (← links)
- Classified functional mixed effects model prediction (Q6618416) (← links)
- Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities (Q6618421) (← links)
- Minimax nonparametric multi-sample test under smoothing (Q6621325) (← links)
- A powerful and data-adaptive test for rare-variant-based gene-environment interaction analysis (Q6625934) (← links)
- Estimating precipitation extremes using the log-histospline (Q6626076) (← links)
- Promotion time cure rate model with a neural network estimated nonparametric component (Q6628130) (← links)
- Density Regression with Conditional Support Points (Q6631080) (← links)
- The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling (Q6631112) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
- Multiple closed curve modeling with uncertainty quantification for shape analysis (Q6645134) (← links)
