Pages that link to "Item:Q957166"

The following pages link to Bayesian computation for logistic regression (Q957166):

Displaying 14 items.

• The Pólya-gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic (Q364199) (← links)
• Data augmentation, frequentist estimation, and the Bayesian analysis of multinomial logit models (Q451483) (← links)
• Auxiliary mixture sampling with applications to logistic models (Q1019983) (← links)
• Convergence of logistic parameters in Bayesian approach. (Q1591242) (← links)
• On the use of Cauchy prior distributions for Bayesian logistic regression (Q1631551) (← links)
• Variable selection for market basket analysis (Q2255839) (← links)
• Bayesian networks with a logistic regression model for the conditional probabilities (Q2270420) (← links)
• Divergence measures and a general framework for local variational approximation (Q2375397) (← links)
• Bayesian inference for logistic models in R language (Q2984742) (← links)
• A Bayesian Approach to a Logistic Regression Model with Incomplete Information (Q3506486) (← links)
• Hierarchical Bayesian semiparametric procedures for logistic regression (Q4364844) (← links)
• A simulation study to compare reference and other priors in the case of a standard univariate Student t-distribution (Q5039385) (← links)
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables (Q5406361) (← links)
• Uncertainty quantification in logistic regression using random fuzzy sets and belief functions (Q6548469) (← links)