Parameter tracking for an inventory model

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摘要

This article is an application of Hidden Markov models techniques to partially observed inventory models. A list of discrete-time models is available and the objective is to select the most likely model by observing the demand and replenishment processes which themselves are modulated by some Hidden Markov chains.

论文关键词:Filtering,Markov chains,Change of measure,Inventory model

论文评审过程:Available online 6 February 2003.

论文官网地址:https://doi.org/10.1016/S0096-3003(02)00591-X