Martin B. Hansen

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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)
— Optimal design and dimensioning of wireless data networks, such as GPRS, requires the knowledge of traffic characteristics of different data services. This paper presents an in-detail analysis of an IP-level traffic measurements taken in an operational GPRS network. The data measurements reported here are done at the Gi interface. The aim of this paper is(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)
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)
For applications in spatial statistics, an important property of a random set X in R k is its rst contact distribution. This is the distribution of the distance from a xed point 0 to the nearest point of X, where distance is measured using scalar dilations of a xed test set B. We show that, if B is convex and contains a neighbourhood of 0, the rst contact(More)
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