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In-vivo radiotherapy dosimetryEdwards, Craig Richard January 2002 (has links)
No description available.
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Practical issues in modern Monte Carlo integrationLefebvre, Geneviève, 1978- January 2007 (has links)
Computing marginal likelihoods to perform Bayesian model selection is a challenging task, particularly when the models considered involve a large number of parameters. In this thesis, we propose the use of an adaptive quadrature algorithm to automate the selection of the grid in path sampling, an integration technique recognized as one of the most powerful Monte Carlo integration statistical methods for marginal likelihood estimation. We begin by examining the impact of two tuning parameters of path sampling, the choice of the importance density and the specification of the grid, which are both shown to be potentially very influential. We then present, in detail, the Grid Selection by Adaptive Quadrature (GSAQ) algorithm for selecting the grid. We perform a comparison between the GSAQ and standard grid implementation of path sampling using two well-studied data sets; the GSAQ approach is found to yield superior results. GSAQ is then successfully applied to a longitudinal hierarchical regression model selection problem in Multiple Sclerosis research. / Using an identity arising in path sampling, we then derive general expressions for the Kullback-Leibler (KL) and Jeffrey (J) divergences between two distributions with common support but from possibly different parametric families. These expressions naturally stem from path sampling when the popular geometric path is used to link the extreme densities. Expressions for the KL and J-divergences are also given for any two intermediate densities lying on the path. Estimates for the KL divergence (up to a constant) and for the J-divergence, between a posterior distribution and a selected importance density, can be obtained directly, prior to path sampling implementation. The J-divergence is shown to be helpful for choosing importance densities that minimize the error of the path sampling estimates. / Finally we present the results of a simulation study devised to investigate whether improvement in performance can be achieved by using the KL and J-divergences to select sequences of distributions in parallel (population-based) simulations, such as in the Sequential Monte Carlo Sampling and the Annealed Importance Sampling algorithms. We compare these choices of sequences to more conventional choices in the context of a mixture example. Unexpected results are obtained, and those for the KL and J-divergences are mixed. More fundamentally, we uncover the need to select the sequence of tempered distributions in accordance with the resampling scheme.
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Aspects of analysis of small sample right censored data using generalized Wilcoxon rank tests /Öhman, Marie-Louise, January 1900 (has links)
Diss. Umeå : University.
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Monte Carlo simulation of paleofloods information content of paleoflood data in flood-frequency analysis /Blainey, Joan Brandon. January 2000 (has links) (PDF)
Thesis (M.S. - Hydrology and Water Resources) - University of Arizona. / Includes bibliographical references (leaves 87-93).
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Nucleation and growth in materials and on surfaces : kinetic Monte Carlo simulations and rate equation theory /Shi, Feng. January 2008 (has links)
Dissertation (Ph.D.)--University of Toledo, 2008. / Typescript. "As partial fulfillment of the requirements for the Doctor of Philosophy Degree in Physics." Bibliography: leaves 130-137.
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Carlo Crivelli /Sharp, John. January 2005 (has links)
Thesis (Ph.D.)--Indiana University, Dept. of History of Art, 2005. / Adviser: Bruce Cole.
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Quasi-Monte Carlo methods in finance : with application to optimal asset allocation /Rometsch, Mario. January 2008 (has links)
Zugl.: Ulm, University, Diss.
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Performance evaluation of second price auction using Monte Carlo simulationRumbe, George Otieno. January 2007 (has links)
Thesis (M.S.)--State University of New York at Binghamton, Watson School of Engineering and Applied Science (Systems Science), 2007. / Includes bibliographical references.
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Monte Carlo computer simulation of sub-critical Lennard-Jones particles /Gregory, Victor Paul, January 1991 (has links)
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1991. / Vita. Abstract. Includes bibliographical references (leaves 85-86). Also available via the Internet.
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Carlo Schmid und die Gründung der Bundesrepublik : eine politische Biographie /Hirscher, Gerhard, January 1986 (has links)
Diss. : Philosophische Fakultät : Augsburg : 1985, soutenue sous le titre : "Carlo Schmids Beitrag zur Demokratiegründung". - Bibliogr. p. 383-411. -
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