Pages that link to "Item:Q1676789"
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The following pages link to A variational Bayes approach to a semiparametric regression using Gaussian process priors (Q1676789):
Displaying 13 items.
- Variational inference for count response semiparametric regression (Q273653) (← links)
- A variational inference for the Lévy adaptive regression with multiple kernels (Q2095764) (← links)
- Properties of the Bayesian parameter estimation of a regression based on Gaussian processes (Q2259293) (← links)
- Semiparametric Bernstein-von Mises theorem and bias, illustrated with Gaussian process priors (Q2392501) (← links)
- Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors (Q2643290) (← links)
- Variational inference for heteroscedastic semiparametric regression (Q2788939) (← links)
- Semiparametric mean field variational Bayes: general principles and numerical issues (Q2834508) (← links)
- A Partially Linear Model Using a Gaussian Process Prior (Q2943791) (← links)
- Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data (Q3111188) (← links)
- Semiparametric Regression Using Variational Approximations (Q5208080) (← links)
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors (Q5423493) (← links)
- Variational inference for Bayesian bridge regression (Q6089223) (← links)
- Stochastic variational inference for scalable non-stationary Gaussian process regression (Q6171777) (← links)
