Analysis of the posterior for spline estimators in logistic regression

DOI10.1016/S0378-3758(98)00085-8zbMath0931.62059MaRDI QIDQ1299436

Dennis D. Cox, Nandini Raghavan

Publication date: 21 February 2000

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

Monte Carlo simulationlogistic regressiongeneralized linear mixed modelsimproper priorsgeneralized smoothing splinesnonparametric curve inference

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (1)

Posterior propriety for hierarchical models with log-likelihoods that have norm bounds

Cites Work

• Bayesian analysis of dichotomous quantal response models
• Maximum likelihood estimates in exponential response models
• On the existence and uniqueness of the maximum likelihood estimates for certain generalized linear models
• Approximate Inference in Generalized Linear Mixed Models
• Bayesian Inference in Econometric Models Using Monte Carlo Integration
• Convex Analysis
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