The following pages link to (Q5268958):
Displaying 50 items.
- CRPS Learning (Q72766) (← links)
- Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines (Q99547) (← links)
- Kernel Knockoffs Selection for Nonparametric Additive Models (Q115586) (← links)
- On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing (Q123852) (← links)
- Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data (Q123875) (← links)
- Generalized additive models with flexible response functions (Q137370) (← links)
- Automatic search intervals for the smoothing parameter in penalized splines (Q158336) (← links)
- Vector generalized linear and additive models. With an implementation in R (Q500275) (← links)
- Sample selection models for count data in R (Q722737) (← links)
- Understanding the stochastic partial differential equation approach to smoothing (Q782712) (← links)
- Recent developments in complex and spatially correlated functional data (Q783297) (← links)
- A novel generalized odd log-logistic Maxwell-based regression with application to microbiology (Q823404) (← links)
- Single- and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection (Q823858) (← links)
- Robust functional principal components for sparse longitudinal data (Q824965) (← links)
- Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections (Q829729) (← links)
- \(M\)-type penalized splines with auxiliary scale estimation (Q830684) (← links)
- Direct generalized additive modeling with penalized likelihood. (Q1275102) (← links)
- Risk classification in life and health insurance: extension to continuous covariates (Q1616058) (← links)
- Copula based generalized additive models for location, scale and shape with non-random sample selection (Q1663102) (← links)
- A joint regression modeling framework for analyzing bivariate binary data in \(\mathsf{R}\) (Q1697000) (← links)
- Regression with stagewise minimization on risk function (Q1727927) (← links)
- Generalized additive partial linear models for analyzing correlated data (Q1799814) (← links)
- Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: interpretability for applied scientists (Q2008605) (← links)
- Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures (Q2028571) (← links)
- Robust fitting for generalized additive models for location, scale and shape (Q2029094) (← links)
- A penalized likelihood approach for efficiently estimating a partially linear additive transformation model with current status data (Q2044377) (← links)
- Additive regression for non-Euclidean responses and predictors (Q2054521) (← links)
- Bayesian effect selection in structured additive distributional regression models (Q2057331) (← links)
- Semi-parametric regression when some (expensive) covariates are missing by design (Q2065301) (← links)
- Identification of mineralization in geochemistry Along a transect based on the spatial curvature of log-ratios (Q2066816) (← links)
- Identification of mineralization in geochemistry for grid sampling using generalized additive models (Q2066851) (← links)
- Selective inference for additive and linear mixed models (Q2072385) (← links)
- Model averaging for linear mixed models via augmented Lagrangian (Q2072389) (← links)
- Interpretable machine learning: fundamental principles and 10 grand challenges (Q2074414) (← links)
- Empirical risk assessment of maintenance costs under full-service contracts (Q2079387) (← links)
- Multilevel time-series models for small area estimation at different frequencies and domain levels (Q2080747) (← links)
- Regional now- and forecasting for data reported with delay: toward surveillance of COVID-\(19\) infections (Q2081037) (← links)
- A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy (Q2082484) (← links)
- History of the statistical design of agricultural experiments (Q2084362) (← links)
- Multi-level block designs for comparative experiments (Q2084365) (← links)
- Linear variance, P-splines and neighbour differences for spatial adjustment in field trials: how are they related? (Q2084392) (← links)
- Variance propagation for density surface models (Q2084424) (← links)
- Varying-coefficient stochastic differential equations with applications in ecology (Q2084436) (← links)
- Generalized additive models to capture the death rates in Canada COVID-19 (Q2089576) (← links)
- The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator (Q2092897) (← links)
- A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids (Q2105198) (← links)
- Preprocessing noisy functional data: a multivariate perspective (Q2106796) (← links)
- Generalized log-gamma additive partial linear models with P-spline smoothing (Q2110351) (← links)
- Robust penalized estimators for functional linear regression (Q2111064) (← links)
- Censored gamma regression with uncertain censoring status (Q2121598) (← links)
