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Market Model, Thin Trading

Choice, Choice experiments, Conjoint choice experiments, D-Optimality, Design, Impact, Logit, Model, Models, Multinomial logit, Optimal, Optimal design, Precision, Real life, Simulation, Studies

Bayesian, Choice, Design, Effects, Experimental design, Interaction effects, Logit, Main effects, Misspecification, Model, Models, Multinomial logit, Performance, Prediction, Predictions, Research

Adaptive algorithm, Bayesian D-, A-, G- and V-optimality, Cholesky decomposition, Conjoint choice design, Coordinate-exchange, Multinominal logit, Bayesian, Design, Predictions, Prediction, Conjoint choice experiments, Choice, Criteria, A-Optimality, Optimal, Optimal design, V-optimality, Studies

Bayesian optimal designs, Choice experiments, Prior parameter distribution, Utility-neutral optimal designs

Bayesian, Credibility or posterior probability intervals, Design, Empirical Bayes priors, Factors, Gibbs sampling, Hierarchical Bayesian model, Location and dispersion factors, Model, Noise, Parameters, Sensitivity, Taguchi experiments, WinBUGS

Algorithm, D-Optimality, Heterogeneity, Model-robust design, Multinomial logit design, Prediction accuracy, Semi-Bayesian mixed logit design

Balanced and partially balanced incomplete block designs, D-,A-,G- and V-optimality, Orthogonal designs, Two-level conjoint designs, Strategy, Design, Studies, Order, Yield, Information

two-stage segmentation methods, choice-based conjoint analysis, conditional logit model, market segmentation, latent class analysis

adaptive Bayesian design, conjoint choice experiments, respondent heterogeneity, response error

conjoint choice design, Pseudo-Monte Carlo, Quasi-Monte Carlo, Gaussian-Hermite quadrature, spherical-radial transformation

orthogonalised regressors, market model, currency, exposure

Forward bias, Transaction costs, Trading rule, EMS, ERM

discrete choice models, structural equation models, hierarchical Bayesian estimation, panel mixed logit model, heterogeneity distribution

Bayesian design criterion, posterior density, expected posterior covariance

Stated preference data, conditional logit model, nested logit model, Bayesian D-efficient designs, dominant alternative, prior information

finite mixture, regression, penalized likelihood, order selection

covariate, discrete choice experiment, mixed logit choice model, individual efficient design, hierarchical Bayes estimation

discrete choice, mixed logit, individualized design, D-efficiency, Kullback- Leibler information

random weights linear logistic test model, cognitive diagnosis, computerized adaptive testing, D-efficiency, Kullback-Leibler divergence, mutual information