The following pages link to (Q3996207):
Displaying 50 items.
- Parametrization and penalties in spline models with an application to survival analysis (Q961170) (← links)
- A fast compact algorithm for cubic spline smoothing (Q961215) (← links)
- Generalized profiling estimation for global and adaptive penalized spline smoothing (Q961675) (← links)
- Smooth-CAR mixed models for spatial count data (Q961733) (← links)
- Additive models in censored regression (Q961809) (← links)
- Bayesian binary kernel probit model for microarray based cancer classification and gene selection (Q961916) (← links)
- Robust smoothing of gridded data in one and higher dimensions with missing values (Q962369) (← links)
- Quasi-Monte Carlo methods with applications in finance (Q964676) (← links)
- A regularization framework for multiclass classification: a deterministic annealing approach (Q969088) (← links)
- Establishing criteria to ensure successful feedforward artificial neural network modelling of mechanical systems (Q969828) (← links)
- Wavelet methods in statistics: some recent developments and their applications (Q975559) (← links)
- Testing polynomial covariate effects in linear and generalized linear mixed models (Q975571) (← links)
- Fast computation of smoothing splines subject to equality constraints (Q976224) (← links)
- State price density estimation via nonparametric mixtures (Q985015) (← links)
- Hierarchical spatial models for predicting tree species assemblages across large domains (Q985023) (← links)
- A new kernel-based approach for linear system identification (Q985267) (← links)
- Penalized variable selection procedure for Cox models with semiparametric relative risk (Q987999) (← links)
- Sieve least squares estimation for partially nonlinear models (Q988091) (← links)
- Image and video colorization using vector-valued reproducing kernel Hilbert spaces (Q993570) (← links)
- Encoding dissimilarity data for statistical model building (Q993793) (← links)
- Smoothing spline ANOPOW (Q993825) (← links)
- Non-stationary structural model with time-varying demand elasticities (Q993828) (← links)
- Multiple penalty regression: fitting and extrapolating a discrete incomplete multi-way layout (Q995797) (← links)
- On the stability of meshless symmetric collocation for boundary value problems (Q996807) (← links)
- Regularized finite mixture models for probability trajectories (Q998834) (← links)
- Wavelet estimation by Bayesian thresholding and model selection (Q999035) (← links)
- Modeling capsule tissue growth around disk-shaped implants: a numerical and in vivo study (Q999291) (← links)
- Nonparametric spectral analysis with applications to seizure characterization using EEG time series (Q999670) (← links)
- An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization (Q1000785) (← links)
- Fast algorithms for nonparametric population modeling of large data sets (Q1000809) (← links)
- Approximation with the output of linear control systems (Q1001240) (← links)
- Smoothing splines estimators for functional linear regression (Q1002148) (← links)
- Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261) (← links)
- Convex multi-task feature learning (Q1009294) (← links)
- An algebraic characterization of the optimum of regularized kernel methods (Q1009329) (← links)
- Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems (Q1009939) (← links)
- Sensitivity analysis of constrained linear \(L_1\) regression: Perturbations to constraints, addition and deletion of observations (Q1010461) (← links)
- Flexible temporal expression profile modelling using the Gaussian process (Q1010526) (← links)
- Fitting multidimensional data using gradient penalties and the sparse grid combination technique (Q1014352) (← links)
- A simple approach for varying-coefficient model selection (Q1015855) (← links)
- Parsimonious additive models (Q1019916) (← links)
- Knot selection by boosting techniques (Q1020124) (← links)
- Smoothing splines estimators in functional linear regression with errors-in-variables (Q1020144) (← links)
- Computation of estimates in segmented regression and a liquidity effect model (Q1020755) (← links)
- Kernel ellipsoidal trimming (Q1020817) (← links)
- Level choice in truncated total least squares (Q1020912) (← links)
- SCAD-penalized regression in high-dimensional partially linear models (Q1020975) (← links)
- An RKHS formulation of the inverse regression dimension-reduction problem (Q1020976) (← links)
- Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise (Q1020982) (← links)
- Convergence rates of generalization errors for margin-based classification (Q1021988) (← links)
