The following pages link to (Q5268958):
Displaying 50 items.
- 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)
- Intensity estimation on geometric networks with penalized splines (Q2154182) (← links)
- A fuzzy nonlinear univariate regression model with exact predictors and fuzzy responses (Q2157070) (← links)
- A comprehensive model for cyber risk based on marked point processes and its application to insurance (Q2157210) (← links)
- Improved linear regression prediction by transfer learning (Q2157516) (← 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)
- Estimating time-varying directed neural networks (Q2209699) (← 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)
- Additive stacking for disaggregate electricity demand forecasting (Q2245149) (← links)
- Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions (Q2273140) (← links)
- Evaluation of driving risk at different speeds (Q2273980) (← links)
- Additive models with trend filtering (Q2284363) (← links)
- Empirical Bayes analysis of RNA sequencing experiments with auxiliary information (Q2291530) (← links)
- Faster model matrix crossproducts for large generalized linear models with discretized covariates (Q2302462) (← links)
- Multivariate modelling of multiple guarantees in motor insurance of a household (Q2304002) (← links)
- A new approach to varying-coefficient additive models with longitudinal covariates (Q2305307) (← links)
- Pairwise local Fisher and naive Bayes: improving two standard discriminants (Q2305993) (← links)
- Tensor product splines and functional principal components (Q2306242) (← links)
- A trivariate additive regression model with arbitrary link functions and varying correlation matrix (Q2317255) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Exceedance-based nonlinear regression of tail dependence (Q2322842) (← links)
- Cross hedging using prediction error weather derivatives for loss of solar output prediction errors in electricity market (Q2419791) (← links)
- Sparse regression with multi-type regularized feature modeling (Q2657005) (← links)
- Recent advances in directional statistics (Q2666029) (← links)
- Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme (Q2674493) (← links)
- Loss amount prediction from textual data using a double GLM with shrinkage and selection (Q2677931) (← links)
- Nonparametric inference for additive models estimated via simplified smooth backfitting (Q2679229) (← links)
- Partially linear models with \(p\)-order autoregressive skew-normal errors (Q2679736) (← links)
- Flexible tree-structured regression models for discrete event times (Q2680302) (← links)
- Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (Q2954104) (← links)
- Selecting the smoothing parameter and knots for an extension of penalized splines to censored data (Q3389650) (← links)
- Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and Its Asymptotic Optimality (Q3391209) (← links)
- Scalable Visualization Methods for Modern Generalized Additive Models (Q3391450) (← links)
- Generalised additive mixed models analysis via gammSlice (Q4557846) (← links)
- Spatio-temporal expectile regression models (Q4971513) (← links)
- Semiparametric efficient inferences for generalised partially linear models (Q4987547) (← links)
- A new approach for monitoring healthcare performance using generalized additive profiles (Q5033972) (← links)
- The information detection for the generalized additive model (Q5036871) (← links)
- Prediction intervals for GLMs, GAMs, and some survival regression models (Q5039828) (← links)
- Climate-driven statistical models as effective predictors of local dengue incidence in costa rica: a generalized additive model and random forest approach (Q5041958) (← links)
