Linearization tecnhiques in Bayesian robustness

This paper deals with techniques which permit one to obtain the range of a posterior expectation through a sequence of linear optimizations. In the contexts of Bayesian robustness, the lenearization agorithm plays a fundamental role Its mathematical aspects and its connection with fractional programming procedures are reviewed and a few instances of its broad applicability are listed. At the end, some alternative approaches are briefly discussed.