A Multi-Dimensional Approach to Dynamic Consumer Preferences and Non-Standard Economic Modeling Using Deep Learning Techniques

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Goudarzi, Hamid Reza, Pejman Nasiri Nasab, Arman Salehi, Ashkan Heydarian
DOI: 10.5281/zenodo.18404381
Cited by: 0

Abstract

The paper develops a multi-dimensional approach to modeling consumer preferences when classical utility maximization is ill-defined. We introduce the Best Approximate Hypersurface (BAH) estimator, a constrained learning framework that combines utility prediction with budget feasibility via KKT-inspired projection.

Fields of Study & Subjects

Consumer Market Behavior and Pricing Decision-Making and Behavioral Economics Economic and Environmental Valuation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 January 2026