Greetings, and apologies for cross-posting. For those who may be interested in this topic, the following book chapter on Bayesian sensitivity analysis is now available for downloading at www.bath.ac.uk/~masdd Draper D, Saltelli A, Tarantola S (1999). Scenario and parametric sensitivity and uncertainty analyses in nuclear waste disposal risk assessment: the case of {\sf GESAMAC}. In {\it Mathematical and Statistical Methods for Sensitivity Analysis\/} (Saltelli A, Chan K, Scott M, eds.), New York: Wiley (forthcoming). (Shows that variance-based sensitivity analyses are not fully adequate in determining the factors most responsible for high radiologic doses arising from the failure of underground storage facilities for nuclear waste, and that about 30\% of the overall predictive uncertainty for log dose arises from uncertainty about the scenario describing how the facility will fail---a source of uncertainty previously largely ignored or treated qualitatively. Also explores the use of projection pursuit regression in sensitivity analysis.) Comments welcome. Best wishes, David Draper P.S. For those who may be interested in a different topic, two additional recent chapters on nonstandard issues in sample surveys (the effects of nonprobability sampling and model assumption errors) are also available for downloading at the same site (comments welcome on this material too).