Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach

Keyphrases

• Attribute Non-attendance 100%
• Stated Choice Data 100%
• Support Vector Machine Model 100%
• Bounded Rationality 100%
• Preference Estimation 100%
• Consumer Preferences 33%
• Choice Data 33%
• Support Vector Machine 16%
• Management Decisions 16%
• Recent Advances 16%
• Discrete Choice Experiment 16%
• Machine Learning Approach 16%
• Modeling Approach 16%
• Simulation Study 16%
• Choice Models 16%
• Stated Choice Experiment 16%
• Latent Class Model 16%
• Conjoint Experiment 16%
• Operation number 16%
• Operations Management 16%
• Non-attendance 16%

INIS

• data 100%
• vectors 100%
• levels 50%
• performance 50%
• simulation 50%
• information 50%
• management 25%
• applications 25%
• benchmarks 25%
• machine learning 25%
• modeling 25%
• operation 25%
• noise 25%
• specifications 25%

Computer Science

• Support Vector Machine 100%
• Individual Level 100%
• Simulated Data 50%
• Good Performance 50%
• Decision Management 50%
• Consumer Choice 50%
• Simulation Study 50%
• Machine Learning-Based Approach 50%