Pages that link to "Item:Q1007463"
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The following pages link to Propriety of posteriors in structured additive regression models: Theory and empirical evi\-dence (Q1007463):
Displaying 17 items.
- Scale-dependent priors for variance parameters in structured additive distributional regression (Q516537) (← links)
- Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches (Q746087) (← links)
- Propriety of posterior in Bayesian space varying parameter models with normal data (Q951187) (← links)
- Analysis of the posterior for spline estimators in logistic regression (Q1299436) (← links)
- Direct determination of smoothing parameter for penalized spline regression (Q2260575) (← links)
- Posterior impropriety of some sparse Bayesian learning models (Q2658011) (← links)
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion) (Q2920273) (← links)
- Some asymptotic results on generalized penalized spline smoothing (Q2920278) (← links)
- Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes (Q3100796) (← links)
- Beyond mean regression (Q4970816) (← links)
- Simultaneous probability statements for Bayesian P-splines (Q4970940) (← links)
- Bayesian semi parametric multi-state models (Q4970941) (← links)
- Modelling transport mode decisions using hierarchical logistic regression models with spatial and cluster effects (Q4970950) (← links)
- Bayesian bivariate quantile regression (Q4971420) (← links)
- Effect Selection and Regularization in Structured Additive Distributional Regression (Q5079616) (← links)
- Penalized complexity priors for degrees of freedom in Bayesian P-splines (Q5142159) (← links)
- Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions (Q6085835) (← links)