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  • 统计与管理学院2017年学术报告第39

     

    【主  题】Hazards regression for freemium products and services: a competing risks approach

    【报告人】Jialiang Li, 副教授

    National University of Singapore

    【时  间】 2017年06月09日(星期五)15:00-16:00

    【地  点】 上海财经大学统计与管理学院大楼1312

    【摘  要】We propose a competing risks approach to analyse customer behaviours in freemium products and services. The event of interest is when a customer starts to pay for additional features or functionalities. The observation of such an event may be preempted by an event where the customer quits using the product before paying and consuming the additional features or functionalities. One such freemium service is the online game category. The Fine-Gray regression model was implemented for an online game player activity data to study how covariates affect the paying hazard. Some covariates are hypothesized to have different discrete effects at multiple change points. We extend the model to allow for possible change points in the analysis.

    【邀请人】 黄涛