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Parameter tracking for an inventory model
DOI:10.1016/S0096-3003(02)00591-X.png)
Abstract
En 中文
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. (C) 2002 Elsevier Inc. All rights reserved.
Keywords:
filtering
Markov chains
change of measure
inventory model
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2.3W
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