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This paper is concerned with applying importance sampling as a variance reduction tool for computing extreme quantiles. A central limit theorem is derived for each of four proposed importance sampling...
We develop a strongly efficient rare-event simulation algorithm for computing the tail of the steady-state waiting time in a single server queue with regularly varying service times. Our algorithm is ...
We consider the use of importance sampling to compute expectations of functionals of Markov processes. For a class of expectations that can be characterized as positive solutions to a linear system, w...
In this article we explain some connections between Lyapunov methods and subsolutions of an associated Isaacs equation for the design of efficient importance sampling schemes. As we shall see, subsolu...
In the last decades the new conditions for business development have led to the lack of success of those companies, mainly relying on traditional tangible assets such as properties, financial capital ...
Small and medium-sized enterprises (SMEs) were targeted in the German pilot project "Wissensbilanz – Made in Germany" and the European pilot project “InCaS: Intellectual Capital Statement – Made in Eu...
Spiraling compensation costs over the past two decades has led many firms to change their compensation strategies. There has been a shift in employee pension benefits as a form of compensation, a...

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