The following pages link to (Q3996207):
Displaying 50 items.
- Kernel methods for the approximation of some key quantities of nonlinear systems (Q1654461) (← links)
- Semiparametric kernel-based regression for evaluating interaction between pathway effect and covariate (Q1654561) (← links)
- Pointwise convergence in probability of general smoothing splines (Q1656858) (← links)
- Prediction of dynamical time series using kernel based regression and smooth splines (Q1657952) (← links)
- Adaptive penalized splines for data smoothing (Q1658463) (← links)
- A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes (Q1659007) (← links)
- High resolution simulation of nonstationary Gaussian random fields (Q1659084) (← links)
- Fast and accurate computation for kernel estimators (Q1660133) (← links)
- Interaction models for functional regression (Q1660166) (← links)
- Modeling spatial anisotropy via regression with partial differential regularization (Q1661326) (← links)
- Goodness-of-fit test for nonparametric regression models: smoothing spline ANOVA models as example (Q1662327) (← links)
- Sequential Bayesian inference for static parameters in dynamic state space models (Q1663121) (← links)
- Thinplate splines on the sphere (Q1671685) (← links)
- Multiscale representation for irregularly spaced data (Q1674059) (← links)
- On spectral windows in supervised learning from data (Q1675817) (← links)
- Generalized Kalman smoothing: modeling and algorithms (Q1678609) (← links)
- Radial basis function approximation of noisy scattered data on the sphere (Q1679208) (← links)
- A nonparametric kernel-based approach to Hammerstein system identification (Q1679860) (← links)
- Efficient estimation of quasi-likelihood models using \(B\)-splines (Q1680801) (← links)
- Mesh-based and meshless design and approximation of scalar functions (Q1686338) (← links)
- Asymptotics of AIC, BIC, and RMSEA for model selection in structural equation modeling (Q1695635) (← links)
- Searching for the optimum value of the smoothing parameter for a radial basis function surface with feature area by using the bootstrap method (Q1699378) (← links)
- P-splines with derivative based penalties and tensor product smoothing of unevenly distributed data (Q1703813) (← links)
- Nested kriging predictions for datasets with a large number of observations (Q1704020) (← links)
- Multivariate approximation for analytic functions with Gaussian kernels (Q1704602) (← links)
- Hybrid Gaussian-cubic radial basis functions for scattered data interpolation (Q1715359) (← links)
- A partial-robust-ridge-based regression model with fuzzy predictors-responses (Q1715825) (← links)
- Prediction-error identification of LPV systems: a nonparametric Gaussian regression approach (Q1716507) (← links)
- Additive partially linear models for massive heterogeneous data (Q1722060) (← links)
- Query-dependent ranking and its asymptotic properties (Q1722064) (← links)
- Modeling outcomes of soccer matches (Q1722743) (← links)
- Intrinsic random functions on the sphere (Q1726835) (← links)
- Covariate balancing propensity score by tailored loss functions (Q1731067) (← links)
- On estimation of surrogate models for multivariate computer experiments (Q1733118) (← links)
- Stable Gaussian process based tracking control of Euler-Lagrange systems (Q1737856) (← links)
- Principal weighted logistic regression for sufficient dimension reduction in binary classification (Q1740307) (← links)
- Minimax linear estimation at a boundary point (Q1742746) (← links)
- Nonparametric quantile estimation using importance sampling (Q1744716) (← links)
- Optimal order quadrature error bounds for infinite-dimensional higher-order digital sequences (Q1750388) (← links)
- Reduced rank modeling for functional regression with functional responses (Q1755122) (← links)
- Periodic boxcar deconvolution and Diophantine approximation (Q1766117) (← links)
- Positive definite dot product kernels in learning theory (Q1767054) (← links)
- Parameter identification using mollification for predator-prey models in spatially heterogeneous environments (Q1767954) (← links)
- Analysis of blockwise shrinkage wavelet estimates via lower bounds for no-signal setting (Q1768123) (← links)
- Improved smoothing spline regression by combining estimates of different smoothness (Q1771285) (← links)
- Doubly penalized likelihood estimator in heteroscedastic regression (Q1771433) (← links)
- A simple smoothing spline, III (Q1775953) (← links)
- Multilevel regularization of wavelet based fitting of scattered data -- some experiments (Q1776170) (← links)
- Analysis of variance -- why it is more important than ever. (With discussions and rejoinder) (Q1781151) (← links)
- Sparse estimation for functional semiparametric additive models (Q1795572) (← links)
