High dimensional integration arises naturally in two major subfields of statistics: multivariate and Bayesian statistics. Indeed, the most common measures of central tendency, variation, and loss are defined by integrals over the sample space, the parameter space, or both. Recent advances in computational power have stimulated significant new advances in both Bayesian and classical multivariate statistics. In many statistical problems, however, multiple integration can be the major obstacle to solutions. This volume contains the proceedings of an AMS-IMS-SIAM Joint Summer Research Conference on Statistical Multiple Integration, held in June 1989 at Humboldt State University in Arcata, California. The conference represents an attempt to bring together mathematicians, statisticians, and computational scientists to focus on the many important problems in statistical multiple integration. The papers document the state of the art in this area with respect to problems in statistics, potential advances blocked by problems with multiple integration, and current work directed at expanding the capability to integrate over high dimensional surfaces.
Nancy Flournoy
Statistical Multiple Integration [PDF ebook]
Statistical Multiple Integration [PDF ebook]
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Format PDF ● Halaman-halaman 276 ● ISBN 9780821877036 ● Penyunting Nancy Flournoy ● Penerbit American Mathematical Society ● Diterbitkan 2011 ● Muat turun 3 kali ● Mata wang EUR ● ID 6557372 ● Salin perlindungan Adobe DRM
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