Martin B. Hansen

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  • J M Bernardo, M J Bayarri, J O Berger, A P Dawid, D Heckerman, A F M Smith +3 others
  • 2002
SUMMARY We propose a new method for making inference about an unknown measure Γ(dλ) upon observing some values of the Fredholm integral g(ω) = k(ω, λ)Γ(dλ) of a known kernel k(ω, λ), using Lévy random fields as Bayesian prior distributions for modeling uncertainty about Γ(dλ). Inference is based on simulation-based MCMC methods. The method is illustrated(More)
This paper presents a graphical integrated modelling and performance-analysis tool based on deterministic network calculus (DNC) and implemented as an open source toolbox for the MATLAB/SimuLink environment. The paper introduces briefly the main concepts from network calculus and especially recent results for systems with cyclic dependencies, which appear(More)
— Remote access to dynamically changing information elements is a required functionality for various network services, including routing and instances of context-sensitive networking. Three fundamentally different strategies for such access are investigated in this paper: (1) a reactive approach initiated by the requesting entity, and two versions of(More)
In this paper it is demonstrated how a nonparametric esti-mator of the stationary workload distribution function of the M/G/1-queue can be obtained by systematic sampling the workload process. Weak convergence results and bootstrap methods for empirical distribution functions for stationary associated sequences are used to derive asymptotic results and(More)
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