论文标题
销售交易数据的需求估算 - 实际扩展
Demand Estimation from Sales Transaction Data -- Practical Extensions
论文作者
论文摘要
在本文中，我们讨论了文献中使用的基于标准选择的需求模型的实际限制，以估算销售交易数据的需求。我们介绍了模型的修改和扩展，并讨论了数据预处理和解决方案技术，这些技术对于处理销售交易数据的从业者很有用。其中，我们提出了一种算法，以分配在部分可用性下观察到的销售交易数据，我们扩展了非均匀产品集的流行期望最大化（EM）算法，并且我们开发了两种迭代优化算法，这些算法可以处理本文中讨论的许多扩展。
In this paper we discuss practical limitations of the standard choice-based demand models used in the literature to estimate demand from sales transaction data. We present modifications and extensions of the models and discuss data preprocessing and solution techniques which are useful for practitioners dealing with sales transaction data. Among these, we present an algorithm to split sales transaction data observed under partial availability, we extend a popular Expectation Maximization (EM) algorithm for non-homogeneous product sets, and we develop two iterative optimization algorithms which can handle much of the extensions discussed in the paper.
