The following pages link to gss (Q18235):
Displaying 50 items.
- Asymptotic optimality and efficient computation of the leave-subject-out cross-validation (Q741814) (← links)
- Straightforward intermediate rank tensor product smoothing in mixed models (Q746284) (← links)
- Iterative bias reduction: a comparative study (Q746347) (← links)
- Fast cross-validation in harmonic approximation (Q778015) (← links)
- ANOVA Gaussian process modeling for high-dimensional stochastic computational models (Q781984) (← links)
- Designs for smoothing spline ANOVA models (Q811795) (← links)
- A Bayesian goodness-of-fit test for regression (Q829735) (← links)
- \(M\)-type penalized splines with auxiliary scale estimation (Q830684) (← links)
- Nonparametric modeling of the gap time in recurrent event data (Q841067) (← links)
- Automatic model selection for partially linear models (Q842929) (← links)
- Adaptive penalized M-estimation with current status data (Q853825) (← links)
- Component selection and smoothing in multivariate nonparametric regression (Q869970) (← links)
- Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation (Q892492) (← links)
- Doubly regularized Cox regression for high-dimensional survival data with group structures (Q897169) (← links)
- Bayesian adaptive smoothing splines using stochastic differential equations (Q899029) (← links)
- A comparative study of nonparametric estimation in Weibull regression: a penalized likelihood approach (Q901574) (← links)
- Wavelet estimation of partially linear models (Q956986) (← links)
- Generalized profiling estimation for global and adaptive penalized spline smoothing (Q961675) (← links)
- Testing the equality of linear single-index models (Q962211) (← links)
- Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval (Q962277) (← links)
- Parameter cascades and profiling in functional data analysis (Q964612) (← links)
- Hierarchical spatial models for predicting tree species assemblages across large domains (Q985023) (← links)
- Penalized variable selection procedure for Cox models with semiparametric relative risk (Q987999) (← links)
- Compare diagnostic tests using transformation-invariant smoothed ROC curves (Q989284) (← links)
- Encoding dissimilarity data for statistical model building (Q993793) (← links)
- Nonparametric spectral analysis with applications to seizure characterization using EEG time series (Q999670) (← links)
- Penalized pseudo-likelihood hazard estimation: A fast alternative to penalized likelihood (Q1007467) (← links)
- A simple approach for varying-coefficient model selection (Q1015855) (← links)
- Estimation and inference in functional mixed-effects models (Q1020142) (← links)
- Computation of estimates in segmented regression and a liquidity effect model (Q1020755) (← links)
- An RKHS formulation of the inverse regression dimension-reduction problem (Q1020976) (← links)
- Adaptive functional mixed NHPP models for the analysis of recurrent event panel data (Q1023705) (← links)
- Simultaneous selection of variables and smoothing parameters in structured additive regression models (Q1023927) (← links)
- Local linear regression for data with AR errors (Q1036922) (← links)
- Some challenges for statistics (Q1039967) (← links)
- MetaLonDA (Q1353002) (← links)
- Nonparametric regression with correlated errors. (Q1431197) (← links)
- Nonparametric operator-regularized covariance function estimation for functional data (Q1615269) (← links)
- D-learning to estimate optimal individual treatment rules (Q1616327) (← links)
- Tensor cubic smoothing splines in designed experiments requiring residual modelling (Q1618196) (← links)
- Penalized likelihood and Bayesian function selection in regression models (Q1621251) (← links)
- Fast Bayesian model assessment for nonparametric additive regression (Q1621314) (← links)
- Modeling body height in prehistory using a spatio-temporal Bayesian errors-in-variables model (Q1622075) (← links)
- Nonlinear surface regression with dimension reduction method (Q1622091) (← links)
- Approximate inference for spatial functional data on massively parallel processors (Q1623412) (← links)
- Generalization properties of doubly stochastic learning algorithms (Q1635837) (← links)
- Robust relevance vector machine for classification with variational inference (Q1639214) (← links)
- Bivariate copula additive models for location, scale and shape (Q1654263) (← links)
- Adaptive penalized splines for data smoothing (Q1658463) (← links)
- Modeling spatial anisotropy via regression with partial differential regularization (Q1661326) (← links)
