Pages that link to "Item:Q5208080"
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The following pages link to Semiparametric Regression Using Variational Approximations (Q5208080):
Displaying 15 items.
- Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines (Q99547) (← links)
- On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing (Q123852) (← links)
- Variational inference for count response semiparametric regression (Q273653) (← links)
- Variational approximation for heteroscedastic linear models and matching pursuit algorithms (Q746230) (← links)
- A variational Bayes approach to a semiparametric regression using Gaussian process priors (Q1676789) (← links)
- A new algorithm for fitting semi-parametric variance regression models (Q2135905) (← links)
- Fast and universal estimation of latent variable models using extended variational approximations (Q2677903) (← links)
- Variational inference for heteroscedastic semiparametric regression (Q2788939) (← links)
- Semiparametric regression and graphical models (Q2802725) (← links)
- On Variance Estimation in Semiparametric Regression Models (Q5697406) (← links)
- Ultra-Fast Approximate Inference Using Variational Functional Mixed Models (Q6047646) (← links)
- Sufficient dimension reduction for clustered data via finite mixture modelling (Q6051665) (← links)
- A penalized least product relative error loss function based on wavelet decomposition for non-parametric multiplicative additive models (Q6175195) (← links)
- Variational inference: uncertainty quantification in additive models (Q6589375) (← links)
- Generalized functional linear model with a point process predictor (Q6618446) (← links)
