The following pages link to gss (Q18235):
Displaying 50 items.
- Efficient estimation of COM-Poisson regression and a generalized additive model (Q1662173) (← links)
- Goodness-of-fit test for nonparametric regression models: smoothing spline ANOVA models as example (Q1662327) (← links)
- Small area estimation under a spatially non-linear model (Q1663085) (← links)
- Combining meta-modeling and categorical indicators for global sensitivity analysis of long-running flow simulators with spatially dependent inputs (Q1663651) (← links)
- On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
- Post-injection trapping of mobile \(\text{CO}_{2}\) in deep aquifers: assessing the importance of model and parameter uncertainties (Q1693746) (← links)
- Data analysis and statistical estimation for time series: improving presentation and interpretation (Q1701905) (← links)
- Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance (Q1706477) (← links)
- Robust multicategory support vector machines using difference convex algorithm (Q1749454) (← links)
- A global tolerance approach to sensitivity analysis in linear programming (Q1754243) (← links)
- Doubly penalized likelihood estimator in heteroscedastic regression (Q1771433) (← links)
- Nonlinear GCV and quasi-GCV for shrinkage models (Q1772677) (← links)
- Sparse estimation for functional semiparametric additive models (Q1795572) (← links)
- An RKHS-based approach to double-penalized regression in high-dimensional partially linear models (Q1795582) (← links)
- Backfitting in smoothing spline ANOVA (Q1807152) (← links)
- Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV. (Q1848843) (← links)
- Statistical properties of the method of regularization with periodic Gaussian reproducing kernel (Q1879972) (← links)
- Learned-loss boosting (Q1927174) (← links)
- Variational Bayesian methods for spatial data analysis (Q1942900) (← links)
- A comparison of two sampling methods for global sensitivity analysis (Q1948862) (← links)
- Generalized Hoeffding-Sobol decomposition for dependent variables -- application to sensitivity analysis (Q1950910) (← links)
- A penalized likelihood estimation approach to semiparametric sample selection binary response modeling (Q1951164) (← links)
- Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning (Q1951519) (← links)
- Self-concordant analysis for logistic regression (Q1952060) (← links)
- On the asymptotics of penalized spline smoothing (Q1952168) (← links)
- Kernel conjugate gradient methods with random projections (Q1979923) (← links)
- Sensitivity analysis method for model with correlated inputs and multivariate output and its application to aircraft structure (Q1988226) (← links)
- Assessing robustness of classification using an angular breakdown point (Q1990584) (← links)
- Modeling regional economic dynamics: spatial dependence, spatial heterogeneity and nonlinearities (Q1991951) (← links)
- Design and analysis of computer experiments (Q2006872) (← links)
- Computer experiments: a review (Q2006874) (← links)
- Using recursive algorithms for the efficient identification of smoothing spline ANOVA models (Q2006880) (← links)
- Convergence of adaptive stochastic collocation with finite elements (Q2047614) (← links)
- Semiparametric optimal estimation with nonignorable nonresponse data (Q2054542) (← links)
- Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection (Q2056283) (← links)
- Bayesian effect selection in structured additive distributional regression models (Q2057331) (← links)
- Sparse mixture models inspired by ANOVA decompositions (Q2071472) (← links)
- Asymptotic properties of penalized spline estimators in concave extended linear models: rates of convergence (Q2073712) (← links)
- On the inference of applying Gaussian process modeling to a deterministic function (Q2074282) (← links)
- Pan-disease clustering analysis of the trend of period prevalence (Q2078313) (← links)
- Linear variance, P-splines and neighbour differences for spatial adjustment in field trials: how are they related? (Q2084392) (← links)
- Fast algorithms for interpolation with L-splines for differential operators \(L\) of order \(4\) with constant coefficients (Q2104073) (← links)
- \(C^4\) interpolation and smoothing exponential splines based on a sixth order differential operator with two parameters (Q2107275) (← links)
- Concentration inequalities for cross-validation in scattered data approximation (Q2120815) (← links)
- Bayes factor asymptotics for variable selection in the Gaussian process framework (Q2135522) (← links)
- Stochastic functional linear models and Malliavin calculus (Q2135880) (← links)
- Mixture cure rate models with neural network estimated nonparametric components (Q2135913) (← links)
- Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations (Q2143016) (← links)
- Semiparametric factor analysis for item-level response time data (Q2152419) (← links)
- Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes (Q2152550) (← links)
