************************************************************************* Department of Mathematical Sciences The Johns Hopkins University SEMINAR ************************************************************************* Professor Daniel Q. Naiman January 27, 2000 Department of Mathematical Sciences 304 Whitehead Hall The Johns Hopkins University Preseminar: 3:00 p.m. Refreshments: 3:30 p.m. Seminar: 4:00 p.m. ************************************************************************* ABSTRACT TUBES, INCLUSION-EXCLUSION INEQUALITIES, AND RELIABILITY BOUNDS ************************************************************************* ABSTRACT Probabilists and statisticians use inclusion-exclusion inequalities to bound or estimate probabilities of unions of events. Examples from statistics and network reliability in which the evaluation of such probabilities is desired will be presented. In 1992, Naiman and Wynn introduced the notion of an abstract tube and described why it is relevant and useful in this context. This notion will be reviewed and key properties of abstract tubes will be presented. In particular, associated with any abstract tube is an inclusion-exclusion identity and corresponding truncation inequalities. Classical inclusion-exclusion arises as a special case, but there are theorems to the effect that the corresponding truncation inequalities are typically weaker than can be obtained when geometric information about the underlying events is available. New abstract tubes leading to improved inequalities for network reliability due to Klaus Dohmen will be described, and some recent related work of Naiman and Wynn will be presented. Also, applications of abstract tubes to estimating p-values via importance sampling, as developed in recent work by Naiman and Priebe, will be presented. *************************************************************************