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Titlebook: Compstat; Proceedings in Compu Rudolf Dutter,Wilfried Grossmann Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 Datenana

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Assessing Convergence of Markov Chain Monte Carlo Methodsbution. Hence one is lead to estimate the speed of convergence of MCMC algorithms. In this paper we briefly survey results useful to monitor and predict the convergence, especially in terms of the number of variables n. This is related to the question of estimating the computational complexity of approximated sampling.
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ernational Association for Statistical Computing (IASC), a section of ISI, the Interna­ tional Statistical Institute. This symposium named COMPSTAT ‘94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT
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Straßenbenutzungsgebühren in Städtenbout amplitude values of the parameters and their derivatives can be incorporated in a natural way into the algorithm in order to improve the accuracy of the estimation. Simulation results for tracking a time-varying frequency are presented.
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