A Bayesian Approach for Nonlinear Regression Models with Continuous Errors

DOI10.1081/STA-120022248zbMath1184.62042MaRDI QIDQ4412411

Rolando De La Cruz-Mesía, Guillermo Marshall

Publication date: 14 July 2003

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Mathematics Subject Classification ID

Bayesian inference (62F15) General nonlinear regression (62J02)

Related Items (4)

The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differences ⋮ Bayesian non-linear regression models with skew-elliptical errors: applications to the classification of longitudinal profiles ⋮ A Bayesian regression model for multivariate functional data ⋮ Model-based clustering for longitudinal data

Uses Software

• CODA

Cites Work

• Unnamed Item
• Markov chains for exploring posterior distributions. (With discussion)
• The Bayesian Analysis of Population Pharmacokinetic Models
• Simulation Run Length Control in the Presence of an Initial Transient
• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry
• Bayesian Approach for Nonlinear Random Effects Models
• Informative Drop-Out in Longitudinal Data Analysis
• Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
• Contemporary Bayesian Econometrics and Statistics
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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