The Focal Multinomial Logit Model: Threshold Effects on Consumer Choice, Assortment, Pricing and Estimation
讲座通知 2026 年 5 月 13 日（星期三）， 上午 10:00 - 11:30 信息管理与工程学院102室 上海市杨浦区武东路100号 主题 The Focal Multinomial Logit Model: Threshold Effects on Consumer Choice, Assortment, Pricing and Estimation. 主讲人 聂嘉明 深圳大学 聂嘉明教授于2017年在清华大学数学科学系取得运筹学博士学位。于2017年-2020年，在中山大学（珠海校区）数学学院担任副研究员，于2020年-2024年，在厦门大学数学科学学院担任助理教授，于2024年起担任深圳大学管理学院副教授。聂老师的研究方向十分广泛，包括组合优化，近似算法与算法复杂度，以及收益管理等等。其多篇代表工作已发表在管理学顶级期刊（如M&SOM，POMS，IJOC等）以及计算经济学顶级会议（如ACM EC等）上。 讲座简介 In this talk, we consider operations management problems under a focal multinomial logit (FMNL) model, which generalizes the MNL framework and captures irrational choice behaviors—such as context, halo, and choice overload—via focality. We focus on several threshold-based specifications, including constant, cardinality, and linear threshold FMNL models, as well as a broader regular class. We analyze computational complexity and develop polynomial-time exact or approximation algorithms for assortment optimization under different focal structures, as well as for optimal joint pricing and assortment decisions. We also study the maximum-likelihood estimation (MLE) problem, addressing identifiability, consistency, and convergence rates, and we propose a convex MINLP reformulation for global parameter estimation. This is joint work with Lei Guan (Beijing Institute of Technology), Ruxian Wang (Johns Hopkins Carey Business School), and Lianmin Zhang (CUHK, Shenzhen).
上海财经大学（武东路校区）
