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  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>In defence of objective Bayesianism [electronic resource] / Jon Williamson.</dc:Title>
<dc:Creator>Williamson, Jon.</dc:Creator>
<dc:Subject>Bayesian statistical decision theory.</dc:Subject>
<dc:Subject>Knowledge, Theory of.</dc:Subject>
<dc:Subject>Reasoning Mathematical models.</dc:Subject>
<dc:Subject>QA279.5</dc:Subject>
<dc:Subject>519.542 22</dc:Subject>
<dc:Description>Includes bibliographical references and index.</dc:Description>
<dc:Description>Description based on print version record.</dc:Description>
<dc:Description>Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.</dc:Description>
<dc:Publisher>Oxford : Oxford University Press,</dc:Publisher>
<dc:Date>2010.</dc:Date>
<dc:Date>2010.</dc:Date>
<dc:Date>2010</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource (vi, 185 p.) :</dc:Format>
<dc:Identifier>http://dx.doi.org/10.1093/acprof:oso/9780199228003.001.0001</dc:Identifier>
<dc:Language>eng</dc:Language>

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