Titlebook: Operationalizing Dynamic Pricing Models; Bayesian Demand Fore Steffen Christ Book 2011 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH,

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Discrete Customer Choice Analysisow-cost travel market that is based on real-world data. Following many other works on choice analysis (see below Table 9.1), the method of discrete customer choice analysis is employed here to model and understand customer purchasing behavior at a disaggregated individual decision maker level.

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Computational Results and Evaluatione first Section 12.1. Additionally, specific elasticities and substitutional patterns are inferred in Section 12.2, and finally Section 12.3 draws targeted conclusions on the usage of the reported results in actual airfare pricing.

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Book 2011heoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity. He proves that the development of the necessary forecasting models is indeed possible, i.e., through the usage of rea

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olatile markets. Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent demand and customer price sensitivity. He proves that the development of the necessary forecasting models is inde

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