Pages that link to "Item:Q713768"
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The following pages link to Nonparametric binary regression using a Gaussian process prior (Q713768):
Displaying 21 items.
- A fully nonparametric modeling approach to binary regression (Q273642) (← links)
- Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression (Q439162) (← links)
- Adaptive Bayesian estimation using a Gaussian random field with inverse gamma bandwidth (Q834358) (← links)
- Posterior consistency of Gaussian process prior for nonparametric binary regression (Q869978) (← links)
- Rates of contraction of posterior distributions based on Gaussian process priors (Q930663) (← links)
- A note on Bayesian nonparametric regression function estimation (Q1019503) (← links)
- Bayesian nonparametric binary regression via random tessellations (Q1036741) (← links)
- Nonparametric Bayesian label prediction on a graph (Q1662125) (← links)
- Bayesian inference in nonparanormal graphical models (Q2226690) (← links)
- Gibbs posterior inference on the minimum clinically important difference (Q2407068) (← links)
- Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors (Q2643290) (← links)
- Gibbs posterior concentration rates under sub-exponential type losses (Q2692523) (← links)
- Flexible link functions in nonparametric binary regression with Gaussian process priors (Q2827177) (← links)
- Bayesian monotone regression using Gaussian process projection (Q2874945) (← links)
- Bayesian Nonparametric Modeling for Multivariate Ordinal Regression (Q3391133) (← links)
- Adaptive Bayesian Procedures Using Random Series Priors (Q3460673) (← links)
- Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors (Q5057082) (← links)
- Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization (Q5086360) (← links)
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors (Q5423493) (← links)
- Nonparametric prior elicitation for a binomial proportion (Q5866123) (← links)
- Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data (Q6067579) (← links)
