Pages that link to "Item:Q273642"
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The following pages link to A fully nonparametric modeling approach to binary regression (Q273642):
Displaying 14 items.
- Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks (Q309544) (← links)
- Nonparametric binary regression using a Gaussian process prior (Q713768) (← links)
- Bayesian nonparametric binary regression via random tessellations (Q1036741) (← links)
- Nonparametric estimation of dichotomic regression with biomedical applications (Q1598512) (← links)
- Bayesian nonparametric regression models for modeling and predicting healthcare claims (Q1622503) (← links)
- A joint regression modeling framework for analyzing bivariate binary data in \(\mathsf{R}\) (Q1697000) (← links)
- A Bayesian nonparametric Markovian model for non-stationary time series (Q1703836) (← links)
- Flexible link functions in nonparametric binary regression with Gaussian process priors (Q2827177) (← links)
- Bayesian Nonparametric Modeling for Multivariate Ordinal Regression (Q3391133) (← links)
- A Bayesian Approach to Robust Binary Nonparametric Regression (Q3839594) (← links)
- Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California (Q4690928) (← links)
- Nonparametric regression estimates using misclassified binary responses (Q4842926) (← links)
- Bayesian density regression for discrete outcomes (Q5117661) (← links)
- Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data (Q6067579) (← links)
