二手车定价及其后:一个生存分析框架

A. Demiriz
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引用次数: 1

摘要

整个汽车市场的很大一部分来自二手车交易。正确确定二手车市场价值肯定有助于在许多经济体实现更公平的贸易。通过使用web列表作为代理数据源,我们可以根据web广告中列出的要价为二手车定价创建一些模型。这种类型的数据采集需要彻底的数据清理过程,才能生成可靠的统计模型。本文提出了一种基于生存分析的方法来研究在Craigslist等网站上可以找到的二手车列表的寿命。根据这类数据,可以很容易地建立定价模型来确定二手车的市场价值。在我们的方法中,最重要的假设之一是将广告下架视为销售事件。这也相当于生存分析语境中的死亡。由于收集到的数据有销售或不销售的标签,我们可以利用预测模型来确定特定价格的特定汽车是否会成功销售。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Used Car Pricing and Beyond: A Survival Analysis Framework
A significant part of the overall automotive market is derived from the used car trade. Determining correctly the used car market values will certainly help achieving fairer trade in many economies. By using the web listings as a proxy data source, we can create some models for the used car pricing based on the asking prices listed in the web adverts. This type of data acquisition requires a thorough data cleaning process to generate dependable statistical models after all. This paper proposes a survival analysis based approach to study the lifetime of the used car listings that can be found at web sites like Craigslist. Pricing models can be easily built to determine the market values of the used-cars from this type of data. One of the most important assumptions in our approach is to consider the delisting of an advert as a sale event. This is also equivalent to the death in the survival analysis context. Since the collected data have labels in terms of sale or not, we can utilize the predictive models to determine whether a particular car at a certain price will be successfully sold or not.
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