Demand estimation from sales transaction data: practical extensions

In this paper, we discuss practical limitations of the standard choice-based demand models used in literature to estimate from sales transaction data. We present modifications and extensions data preprocessing solution techniques which are useful for practitioners dealing with Among these, an algorithm split observed under partial availability, extend a popular Expectation Maximization (EM) non-homogeneous product sets, develop two iterative optimization algorithms can handle much discussed paper.