Markov chain Monte Carlo and models of consideration set and parameter heterogeneity

DOI10.1016/S0304-4076(98)00062-1zbMath0962.62115MaRDI QIDQ1305789

Chakravarthi Narasimhan, Siddhartha Chib, Jeongwen Chiang

Publication date: 19 June 2001

Published in: Journal of Econometrics (Search for Journal in Brave)

zbMATH Keywords

heterogeneityrandom effectshierarchical modelMetropolis-Hasting algorithmbrand choice modelconsidered set

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Numerical analysis or methods applied to Markov chains (65C40) Marketing, advertising (90B60)

Related Items (11)

A network-based approach to modeling and predicting product coconsideration relations ⋮ Modelling consideration heterogeneity in a two-stage conjunctive model ⋮ A survey of preference estimation with unobserved choice set heterogeneity ⋮ Fast computation algorithm for the random consideration set model ⋮ Polynomial time approximate or perfect samplers for discretized Dirichlet distribution ⋮ Modeling consideration sets and brand choice using artificial neural networks. ⋮ Approximation Algorithms for Product Framing and Pricing ⋮ A framework to determine the value of consumer consideration set information for firm pricing strategies ⋮ What are the advantages of MCMC based inference in latent variable models? ⋮ Estimating multinomial choice models with unobserved choice sets ⋮ Demand sensing in \(e\)-business

Cites Work

• Sampling-Based Approaches to Calculating Marginal Densities
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Analysis of Binary and Polychotomous Response Data

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