The following pages link to gss (Q18235):
Displaying 50 items.
- Likelihood-based inference for the power regression model (Q2810746) (← links)
- On the bivariate Sarmanov distribution and copula. an application on insurance data using truncated marginal distributions (Q2810747) (← links)
- On the interpretation of differences between groups for compositional data (Q2810748) (← links)
- Robust project management with the tilted beta distribution (Q2810750) (← links)
- A note on ``Double bounded Kumaraswamy-power series class of distributions'' (Q2810751) (← links)
- Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study (Q2810754) (← links)
- Multinomial logistic estimation in dual frame surveys (Q2810755) (← links)
- On quantile regression in reproducing kernel Hilbert spaces with the data sparsity constraint (Q2810829) (← links)
- Nonparametric density estimation in high-dimensions (Q2844444) (← links)
- Smoothing spline ANOVA frailty model for recurrent event data (Q2893391) (← links)
- Dissimilarity data in statistical model building and machine learning (Q2900324) (← links)
- Variable selection in partly linear regression model with diverging dimensions for right censored data (Q2905106) (← links)
- Generalized additive models for zero-inflated data with partial constraints (Q2911690) (← links)
- Coverage properties of confidence intervals for generalized additive model components (Q2911704) (← links)
- Performance of robust GCV and modified GCV for spline smoothing (Q2911706) (← links)
- A Characterization of the Log-Density Smoothing Spline ANOVA Model (Q2920021) (← links)
- Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices (Q2945143) (← links)
- Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (Q2954104) (← links)
- Data analysis tools for uncertainty quantification of inverse problems (Q2996599) (← links)
- Surface estimation, variable selection, and the nonparametric oracle property (Q2999745) (← links)
- Kalman filtering and smoothing for model-based signal extraction that depend on time-varying spectra (Q3018541) (← links)
- Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity (Q3087590) (← links)
- Robust penalized logistic regression with truncated loss functions (Q3087592) (← links)
- Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes (Q3100796) (← links)
- Nonparametric regression with cross-classified responses (Q3108006) (← links)
- Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time series (Q3119833) (← links)
- Parameter Choices for Fast Harmonic Spline Approximation (Q3120070) (← links)
- Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework (Q3121182) (← links)
- Smoothing spline estimation of generalised varying-coefficient mixed model (Q3182735) (← links)
- Forcing Function Diagnostics for Nonlinear Dynamics (Q3183242) (← links)
- High-Dimensional ODEs Coupled With Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification (Q3225789) (← links)
- (Q3377936) (← links)
- Divide and Recombine Approaches for Fitting Smoothing Spline Models with Large Datasets (Q3391108) (← links)
- Hierarchical Low Rank Approximation of Likelihoods for Large Spatial Datasets (Q3391136) (← links)
- Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and Its Asymptotic Optimality (Q3391209) (← links)
- Multiclass Probability Estimation With Support Vector Machines (Q3391267) (← links)
- Shape‐Invariant Modeling of Circadian Rhythms with Random Effects and Smoothing Spline ANOVA Decompositions (Q3433208) (← links)
- Structured multicategory support vector machines with analysis of variance decomposition (Q3434076) (← links)
- Lung cancer rate predictions using generalized additive models (Q3434110) (← links)
- Smoothing Spline-Based Score Tests for Proportional Hazards Models (Q3436528) (← links)
- ON CONFIDENCE INTERVALS FOR GENERALIZED ADDITIVE MODELS BASED ON PENALIZED REGRESSION SPLINES (Q3442931) (← links)
- Smoothing noisy data via regularization: statistical perspectives (Q3507906) (← links)
- Strong robust generalized cross-validation for choosing the regularization parameter (Q3507910) (← links)
- (Q3524357) (← links)
- Clustered Mixed Nonhomogeneous Poisson Process Spline Models for the Analysis of Recurrent Event Panel Data (Q3530091) (← links)
- ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES (Q3530178) (← links)
- Estimating residual variance in nonparametric regression using least squares (Q3545420) (← links)
- Kernel‐based Generalized Cross‐validation in Non‐parametric Mixed‐effect Models (Q3552976) (← links)
- Semiparametric Negative Binomial Regression Models (Q3577170) (← links)
- Semi-reproducing kernel Hilbert spaces, splines and increment kriging (Q3589225) (← links)
