A Bayesian analysis of tree structure specification in nested logit models

DOI10.1016/J.ECONLET.2004.10.003zbMath1255.62074OpenAlexW2093345115MaRDI QIDQ1927787

Jeremy A. Verlinda

Publication date: 2 January 2013

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.econlet.2004.10.003

zbMATH Keywords

model selectionLaplace approximationMCMCdiscrete choicereversible jump

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Numerical analysis or methods applied to Markov chains (65C40)

Cites Work

• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• A Bayesian analysis of nested logit models
• Bayesian analysis of nested logit model by Markov chain Monte Carlo.
• Accurate Approximations for Posterior Moments and Marginal Densities
• Marginal Likelihood From the Metropolis–Hastings Output

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