Titlebook: Nachwuchsförderung in der Wissenschaft; Best-Practice-Modell Isolde Bülow Book 2014 Springer-Verlag Berlin Heidelberg 2014 Dissertation.Dok

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derivatives of posterior quantities with respect to the prior. The local approach has several advantages. First, in contrast to the linearization algorithm used for global robustness, an iterative scheme is not required. Second, it is typically straightforward to obtain a local analysis from Markov

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Martina van de Sandtation of ϕ(θ), as the prior for θ varies over some commonly used classes of prior distributions, are studied. This kind of study is termed “global” Bayesian robustness of the class of priors for the quantity ip(0). In this paper attention is paid to the methodology for finding these ranges and the

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Michael Klimke derivatives of posterior quantities with respect to the prior. The local approach has several advantages. First, in contrast to the linearization algorithm used for global robustness, an iterative scheme is not required. Second, it is typically straightforward to obtain a local analysis from Markov

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Britta Trautweintation of ϕ(θ), as the prior for θ varies over some commonly used classes of prior distributions, are studied. This kind of study is termed “global” Bayesian robustness of the class of priors for the quantity ip(0). In this paper attention is paid to the methodology for finding these ranges and the

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tation of ϕ(θ), as the prior for θ varies over some commonly used classes of prior distributions, are studied. This kind of study is termed “global” Bayesian robustness of the class of priors for the quantity ip(0). In this paper attention is paid to the methodology for finding these ranges and the

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Anne J. MacLachlanith no accompanying structural, administrative, or descriptive text information. The Internet, more specifically the Web, has become a common channel for the transmission of graphical information, thus moving visual information retrieval rapidly from stand-alone workstations and databases into a net