The following pages link to SemiPar (Q19172):
Displaying 50 items.
- Non-life rate-making with Bayesian GAMs (Q2485533) (← links)
- Nonparametric inference for the cosmic microwave background (Q2503932) (← links)
- Kernel smoothers: an overview of curve estimators for the first graduate course in nonparametric statistics (Q2503959) (← links)
- Density estimation and comparison with a penalized mixture approach (Q2512759) (← links)
- Integrated likelihood inference in semiparametric regression models (Q2513694) (← links)
- Convex analysis in the semiparametric model with Bernstein polynomials (Q2513790) (← links)
- Application of local linear embedding to nonlinear exploratory latent structure analysis (Q2517870) (← links)
- Regression density estimation using smooth adaptive Gaussian mixtures (Q2630124) (← links)
- Local composite quantile regression smoothing for Harris recurrent Markov processes (Q2630348) (← links)
- Additive mixed models with approximate Dirichlet process mixtures: the EM approach (Q2631348) (← links)
- Spherical radial approximation for nested mixed effects models (Q2631353) (← links)
- Fast covariance estimation for high-dimensional functional data (Q2631375) (← links)
- An area-specific stick breaking process for spatial data (Q2633423) (← links)
- Global optimization issues in deep network regression: an overview (Q2633536) (← links)
- Average estimation of semiparametric models for high-dimensional longitudinal data (Q2661849) (← links)
- Double penalized semi-parametric signed-rank regression with adaptive LASSO (Q2661886) (← links)
- Variable selection based on squared derivative averages (Q2664212) (← links)
- Partially linear models with \(p\)-order autoregressive skew-normal errors (Q2679736) (← links)
- Leveraging high-resolution weather information to predict hail damage claims: a spatial point process for replicated point patterns (Q2682985) (← links)
- Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
- Modeling a nonlinear biophysical trend followed by long-memory equilibrium with unknown change point (Q2686084) (← links)
- A class of grouped Brunk estimators and penalized spline estimators for monotone regression (Q2786370) (← links)
- Variational inference for heteroscedastic semiparametric regression (Q2788939) (← links)
- Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models (Q2792774) (← links)
- Bayesian spatiotemporal analysis of zero-inflated biological population density data by a delta-normal spatiotemporal additive model (Q2802566) (← links)
- Semiparametric regression and graphical models (Q2802725) (← links)
- Generalized extreme value additive model analysis via mean field variational Bayes (Q2802758) (← links)
- Model-based direct estimation of small-area distributions (Q2802784) (← links)
- Variable selection in linear mixed models using an extended class of penalties (Q2802814) (← links)
- Fast and accurate inference for the smoothing parameter in semiparametric models (Q2802824) (← links)
- Estimation of a semiparametric recursive bivariate probit model with nonparametric mixing (Q2802853) (← links)
- Bayesian function-on-function regression for multilevel functional data (Q2803471) (← links)
- Bayesian nonlinear model selection for gene regulatory networks (Q2803473) (← links)
- Therapeutic hypothermia: quantification of the transition of core body temperature using the flexible mixture bent-cable model for longitudinal data (Q2803536) (← links)
- On quantile regression in reproducing kernel Hilbert spaces with the data sparsity constraint (Q2810829) (← links)
- Functional mixed effects model for small area estimation (Q2821486) (← links)
- Spatial regression with covariate measurement error: a semiparametric approach (Q2827174) (← links)
- Parameter Estimation of Partial Differential Equation Models (Q2861813) (← links)
- Semi-parametric additive constrained regression (Q2863045) (← links)
- Survey design asymptotics for the model-assisted penalised spline regression estimator (Q2863048) (← links)
- Flexible copula density estimation with penalized hierarchical B-splines (Q2868861) (← links)
- Efficient Bayesian multivariate surface regression (Q2868862) (← links)
- Flow field forecasting for univariate time series (Q2870759) (← links)
- Richly parameterized linear models. Additive, time series, and spatial models using random effects (Q2871248) (← links)
- Clustering in linear-mixed models with a group fused lasso penalty (Q2874292) (← links)
- Small area estimation for semicontinuous skewed spatial data: an application to the grape wine production in Tuscany (Q2874299) (← links)
- Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging data (Q2875762) (← links)
- Joint models for longitudinal and time-to-event data. With applications in R (Q2889696) (← links)
- Stochastic functional data analysis: a diffusion model-based approach (Q2893385) (← links)
- Robust estimation for ordinary differential equation models (Q2893386) (← links)
