The following pages link to Semiparametric Regression (Q4435810):
Displaying 50 items.
- A Bayesian regression model for multivariate functional data (Q961857) (← links)
- Smoothing sample extremes: the mixed model approach (Q961868) (← links)
- Optimal expectile smoothing (Q961911) (← links)
- Penalized spline estimation for functional coefficient regression models (Q962336) (← links)
- Bayesian semiparametric zero-inflated Poisson model for longitudinal count data (Q975970) (← links)
- Marginal longitudinal semiparametric regression via penalized splines (Q984018) (← links)
- A semi-parametric approach to dual modeling when no replication exists (Q984645) (← links)
- Flexible modeling of conditional distributions using smooth mixtures of asymmetric Student \(t\) densities (Q993802) (← links)
- Fisher information for generalised linear mixed models (Q996981) (← links)
- Real time estimation in local polynomial regression, with application to trend-cycle analysis (Q999677) (← links)
- Double-smoothing for bias reduction in local linear regression (Q1007487) (← links)
- Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models (Q1010406) (← links)
- Ascent EM for fast and global solutions to finite mixtures: An application to curve-clustering of online auctions (Q1010411) (← links)
- Mixed model-based inference in geoadditive hazard regression for interval-censored survival times (Q1010413) (← links)
- Classification of pathological stage of prostate cancer patients using penalized splines (Q1010454) (← links)
- Additive two-way hazards model with varying coefficients (Q1010543) (← links)
- Practical large-scale spatio-temporal modeling of particulate matter concentrations (Q1018627) (← links)
- Multilevel functional principal component analysis (Q1018634) (← links)
- Parsimonious additive models (Q1019916) (← links)
- Computational techniques for spatial logistic regression with large data sets (Q1019998) (← links)
- Parametric and semi-parametric approaches in the analysis of short-term effects of air pollution on health (Q1020093) (← links)
- Bias reduction in kernel binary regression (Q1020100) (← links)
- Knot selection by boosting techniques (Q1020124) (← links)
- Penalized solutions to functional regression problems (Q1020154) (← links)
- Robust forecasting of mortality and fertility rates: a functional data approach (Q1020157) (← links)
- Semiparametric regression for assessing agreement using tolerance bands (Q1020727) (← links)
- Signal extraction and filtering by linear semiparametric methods (Q1020896) (← links)
- New tests for stochastic order with application to case control studies (Q1021994) (← links)
- Extended rank analysis of covariance adjusting for local correlations (Q1023466) (← links)
- Assessing continuous bivariate effects among different groups through nonparametric regression models: an application to breast cancer detection (Q1023529) (← links)
- Stacked Laplace-EM algorithm for duration models with time-varying and random effects (Q1023581) (← links)
- Fitting generalized linear models with unspecified link function: a P-spline approach (Q1023583) (← links)
- Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models (Q1023666) (← links)
- Predictive performance of Dirichlet process shrinkage methods in linear regression (Q1023703) (← links)
- 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)
- 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)
