The following pages link to gamair (Q23082):
Displaying 50 items.
- Non-linear models for extremal dependence (Q2011517) (← 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)
- Dynamic regression models for time-ordered functional data (Q2057327) (← 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)
- Transition models for count data: a flexible alternative to fixed distribution models (Q2066708) (← links)
- Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance (Q2066736) (← 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)
- The curse of the plateau. Measuring confidence in human mortality estimates at extreme ages (Q2079466) (← links)
- Multilevel time-series models for small area estimation at different frequencies and domain levels (Q2080747) (← links)
- Modelling extremes of spatial aggregates of precipitation using conditional methods (Q2080785) (← 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 single index models and Jensen effects on reproduction and survival (Q2084439) (← 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)
- Censored gamma regression with uncertain censoring status (Q2121598) (← links)
- A smooth dynamic network model for patent collaboration data (Q2125735) (← links)
- Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors (Q2135870) (← links)
- Modelling the association in bivariate survival data by using a Bernstein copula (Q2135890) (← links)
- Additive models with autoregressive symmetric errors based on penalized regression splines (Q2135912) (← links)
- Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations (Q2143016) (← links)
- Joint non-parametric estimation of mean and auto-covariances for Gaussian processes (Q2143035) (← links)
- Extreme eigenvalues of nonlinear correlation matrices with applications to additive models (Q2145814) (← links)
- A joint estimation approach to sparse additive ordinary differential equations (Q2172119) (← links)
- A memory-free spatial additive mixed modeling for big spatial data (Q2195533) (← links)
- Inference and computation with generalized additive models and their extensions (Q2195738) (← links)
- Rejoinder on: ``Inference and computation with generalized additive models and their extensions'' (Q2195740) (← links)
- When and when not to use optimal model averaging (Q2208423) (← links)
- Estimating time-varying directed neural networks (Q2209699) (← links)
- Risk models for breast cancer and their validation (Q2218014) (← links)
- Tree-based modeling of time-varying coefficients in discrete time-to-event models (Q2223346) (← links)
- Hierarchical Bayesian spatio-temporal modeling for \(\mathrm{PM}_{10}\) prediction (Q2241277) (← links)
- The effects of trade size and market depth on immediate price impact in a limit order book market (Q2246738) (← links)
