Demand Models With Random Partitions

DOI10.1080/01621459.2019.1604360zbMath1437.62688OpenAlexW2896994323WikidataQ128020857 ScholiaQ128020857MaRDI QIDQ3304831

Adam N. H. Smith, Greg M. Allenby

Publication date: 3 August 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://discovery.ucl.ac.uk/id/eprint/10071424/

zbMATH Keywords

Markov chain Monte CarloBayesian inferencePólya urnlocation-scale familyprice elasticity

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bayesian inference (62F15) Monte Carlo methods (65C05)

Related Items (2)

Multivariate mixed membership modeling: inferring domain-specific risk profiles ⋮ Centered partition processes: informative priors for clustering (with discussion)

Uses Software

• blasso
• bayesm
• glasso
• shallot

Cites Work

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• Modelling Heterogeneity With and Without the Dirichlet Process
• Spatial product partition models
• Product partition models for change point problems
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Ferguson distributions via Polya urn schemes
• Optimal scaling for various Metropolis-Hastings algorithms.
• Bayesian cluster analysis: point estimation and credible balls (with discussion)
• Automated parameter blocking for efficient Markov chain Monte Carlo sampling
• Inference from iterative simulation using multiple sequences
• Exchangeable and partially exchangeable random partitions
• Bayesian nonparametric data analysis
• A predictive view of Bayesian clustering
• The sampling theory of selectively neutral alleles
• A Bayesian analysis of some nonparametric problems
• Tailored randomized block MCMC methods with application to DSGE models
• Product partition models with correlated parameters
• Discrete Choice Methods with Simulation
• Elastic Net Regression Modeling With the Orthant Normal Prior
• The Empirical Implications of a Utility Tree
• Bayesian Statistics and Marketing
• The horseshoe estimator for sparse signals
• The Bayesian Lasso
• Bayesian lasso regression
• Bayesian Variable Selection in Linear Regression
• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
• 10.1162/15324430152748236
• Bayesian Clustering and Product Partition Models
• The Spike-and-Slab LASSO
• Bayesian Density Estimation and Inference Using Mixtures
• Generalized Species Sampling Priors With Latent Beta Reinforcements
• Regularization and Variable Selection Via the Elastic Net
• A Note on Separability in Demand Analysis
• Model Selection and Estimation in Regression with Grouped Variables
• Separable Utility and Aggregation
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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