The following pages link to SemiPar (Q19172):
Displaying 50 items.
- Adaptive functional mixed NHPP models for the analysis of recurrent event panel data (Q1023705) (← links)
- Increasing the usefulness of additive spline models by knot removal (Q1023906) (← links)
- Simultaneous selection of variables and smoothing parameters in structured additive regression models (Q1023927) (← links)
- A recipe for robust estimation using pseudo data (Q1031778) (← links)
- A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory (Q1033416) (← links)
- Nonparametric \(n^{-1/2}\)-consistent estimation for the general transformation models (Q1383101) (← links)
- Parallel distributed kernel estimation (Q1608905) (← links)
- An additive penalty \(P\)-spline approach to derivative estimation (Q1615126) (← links)
- P-splines with an \(\ell_1\) penalty for repeated measures (Q1616325) (← links)
- Nonparametric estimation of simplified vine copula models: comparison of methods (Q1616352) (← links)
- Small area estimation via unmatched sampling and linking models (Q1616702) (← links)
- Tensor cubic smoothing splines in designed experiments requiring residual modelling (Q1618196) (← links)
- Geoadditive modeling for extreme rainfall data (Q1621237) (← links)
- On likelihood ratio testing for penalized splines (Q1621252) (← links)
- Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277) (← links)
- Hypercube estimators: penalized least squares, submodel selection, and numerical stability (Q1621345) (← links)
- Parameter estimation and inference in dynamic systems described by linear partial differential equations (Q1622073) (← 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)
- Mean field variational Bayesian inference for support vector machine classification (Q1623434) (← links)
- Partially linear modeling of conditional quantiles using penalized splines (Q1623589) (← links)
- Penalized scalar-on-functions regression with interaction term (Q1623722) (← links)
- Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models (Q1631432) (← links)
- Additive mixed models with Dirichlet process mixture and P-spline priors (Q1633226) (← links)
- Inference on finite population categorical response: nonparametric regression-based predictive approach (Q1633228) (← links)
- Kernel-penalized regression for analysis of microbiome data (Q1647639) (← links)
- Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study (Q1654235) (← links)
- Bivariate copula additive models for location, scale and shape (Q1654263) (← links)
- Analysis of binary longitudinal data with time-varying effects (Q1654267) (← links)
- Fiducial generalized \(p\)-values for testing zero-variance components in linear mixed-effects models (Q1656896) (← links)
- Generalized partially linear regression with misclassified data and an application to labour market transitions (Q1658428) (← links)
- Adaptive penalized splines for data smoothing (Q1658463) (← links)
- A note on modeling sparse exponential-family functional response curves (Q1658520) (← links)
- Semi-parametric copula sample selection models for count responses (Q1658729) (← links)
- A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes (Q1659007) (← links)
- Interaction models for functional regression (Q1660166) (← links)
- Dual-semiparametric regression using weighted Dirichlet process mixture (Q1662051) (← links)
- Estimation and testing for time-varying quantile single-index models with longitudinal data (Q1662061) (← links)
- Efficient estimation of COM-Poisson regression and a generalized additive model (Q1662173) (← links)
- Testing the equality of several covariance functions for functional data: a supremum-norm based test (Q1662852) (← links)
- Small area estimation under a spatially non-linear model (Q1663085) (← links)
- Copula based generalized additive models for location, scale and shape with non-random sample selection (Q1663102) (← links)
- Estimating and interpreting effects from nonlinear exposure-response curves in occupational cohorts using truncated power basis expansions and penalized splines (Q1664536) (← links)
- Estimation and variable selection for quantile partially linear single-index models (Q1679574) (← links)
- Forecasting in nonlinear univariate time series using penalized splines (Q1685198) (← links)
- A joint regression modeling framework for analyzing bivariate binary data in \(\mathsf{R}\) (Q1697000) (← links)
- A relative error estimation approach for multiplicative single index model (Q1697677) (← links)
- Estimating non-simplified vine copulas using penalized splines (Q1702016) (← links)
- Functional principal component analysis of spatially correlated data (Q1703841) (← links)
- Dynamic survival models with varying coefficients for credit risks. (Q1711479) (← links)
