The following pages link to (Q4315271):
Displaying 50 items.
- Allocation of catalogs to collective customers based on semiparametric response models (Q704136) (← links)
- Auto-associative models and generalized principal component analysis (Q707393) (← links)
- Numerical differentiation of experimental data: local versus global methods (Q710123) (← links)
- An improved \(C_p\) criterion for spline smoothing (Q710806) (← links)
- Bandwidth-based nonparametric inference (Q713763) (← links)
- Functional dynamic factor models with application to yield curve forecasting (Q714342) (← links)
- Local influence for Liu estimators in semiparametric linear models (Q725676) (← links)
- Smoothing by cubic spline modified applied to solve inverse thermal problem (Q725747) (← links)
- Parametrizations, fixed and random effects (Q730435) (← links)
- On regression model selection for the data with correlated errors (Q730754) (← links)
- Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data (Q730756) (← links)
- Examining heterogeneity in implied equity risk premium using penalized splines (Q732231) (← links)
- Practical use of robust GCV and modified GCV for spline smoothing (Q736591) (← links)
- Two-sample homogeneity tests based on divergence measures (Q736593) (← links)
- Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach (Q740642) (← links)
- Asymptotic optimality and efficient computation of the leave-subject-out cross-validation (Q741814) (← links)
- A non-iterative optimization method for smoothness in penalized spline regression (Q746232) (← links)
- On conditional variance estimation in nonparametric regression (Q746272) (← links)
- Generalized additive models for conditional dependence structures (Q746876) (← links)
- Nonparametric relative recursive regression (Q828048) (← links)
- Variable selection in multivariate linear models for functional data via sparse regularization (Q830251) (← links)
- Nonparametric regression, confidence regions and regularization (Q834356) (← links)
- Influence diagnostics and outlier tests for varying coefficient mixed models (Q842919) (← links)
- Automatic model selection for partially linear models (Q842929) (← links)
- Robust estimation in a nonlinear cointegration model (Q847424) (← links)
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models (Q850718) (← links)
- Nonparametric models and their estimation (Q862786) (← links)
- Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping (Q875996) (← links)
- Semi-parametric rank regression with missing responses (Q893172) (← links)
- Influence diagnostic in ridge semiparametric models (Q894582) (← links)
- Bayesian adaptive smoothing splines using stochastic differential equations (Q899029) (← links)
- Indirect density estimation using the iterative Bayes algorithm (Q901484) (← links)
- Local influence for Student-\(t\) partially linear models (Q901515) (← links)
- Functional regression modeling via regularized Gaussian basis expansions (Q904049) (← links)
- Optimal tuning parameter estimation in maximum penalized likelihood method (Q904097) (← links)
- Partially linear beta regression model with autoregressive errors (Q905104) (← links)
- Likelihood inference for models with unobservables: another view (Q907953) (← links)
- Vector generalized linear and additive extreme value models (Q928489) (← links)
- An extension of Fisher's discriminant analysis for stochastic processes (Q928855) (← links)
- Modelling heterogeneity for bivariate survival data by the log-normal distribution (Q930085) (← links)
- On solving \(L_{q}\)-penalized regressions (Q933880) (← links)
- A test for the parametric form of the variance function in a partial linear regression model (Q935431) (← links)
- Canonical correlation for stochastic processes (Q947155) (← links)
- Nonlinear regression modeling via regularized radial basis function networks (Q947263) (← links)
- Computing observation weights for signal extraction and filtering (Q951360) (← links)
- Computational aspects of nonparametric smoothing with illustrations from the \texttt{sm} library (Q951888) (← links)
- On knot placement for penalized spline regression (Q955854) (← links)
- Derivatives diagnostics and robustness for smoothing splines (Q956930) (← links)
- Generalized semiparametrically structured mixed models (Q956981) (← links)
- Wavelet estimation of partially linear models (Q956986) (← links)
