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on1321045178 |
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OCoLC |
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20240909213021.0 |
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220215t20222022enka fob 001 0 eng d |
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|a STBDS
|b eng
|e rda
|e pn
|c STBDS
|d OCLCF
|d IUL
|d OCLCQ
|d OCLCO
|d OCLCL
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|a 9780191954108
|q (ebook)
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|a 0191954101
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|z 9780198707608
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|a (OCoLC)1321045178
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4 |
|a QA279.5
|b .T58 2022
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Titelbaum, Michael G.,
|e author.
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| 245 |
1 |
0 |
|a Fundamentals of Bayesian epistemology.
|n 1,
|p Introducing credences /
|c Michael G. Titelbaum.
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| 246 |
3 |
0 |
|a Introducing credences
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| 250 |
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|a First edition.
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| 264 |
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1 |
|a Oxford :
|b Oxford University Press,
|c 2022.
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| 264 |
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4 |
|c ©2022
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| 300 |
|
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|a 1 online resource (xxiii, 192 pages) :
|b illustrations (black and white)
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a This edition also issued in print: 2022.
|
| 504 |
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|a Includes bibliographical references and index.
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| 520 |
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|a "This book introduces readers to the fundamentals of Bayesian epistemology. It begins by motivating and explaining the idea of a degree of belief (also known as a "credence"). It then presents Bayesians' five core normative rules governing degrees of belief: Kolmogorov's three probability axioms, the Ratio Formula for conditional credences, and Conditionalization for updating credences over time. After considering a few proposed additions to these norms, it applies the core rules to confirmation and decision theory. The book then details arguments for the Bayesian rules based on representation theorems, Dutch Books, and accuracy measures. Finally, it looks at objections and challenges to Bayesian epistemology. It presents problems concerning memory loss, self-location, old evidence, logical omniscience, and the subjectivity of priors. It considers the rival statistical paradigms of frequentism and likelihoodism. Then it explores alternative Bayesian-style formalisms involving comparative confidence rankings, credences ranges, and Dempster-Shafer functions"--Publisher's description.
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| 521 |
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|a Specialized.
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| 588 |
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|a Description based on online resource; title from home page (Oxford Academic, viewed on March 21, 2023).
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| 650 |
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0 |
|a Bayesian statistical decision theory.
|
| 650 |
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0 |
|a Knowledge, Theory of.
|
| 650 |
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0 |
|a Belief and doubt.
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| 650 |
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0 |
|a Probabilities.
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| 650 |
|
7 |
|a epistemology.
|2 aat
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| 650 |
|
7 |
|a probability.
|2 aat
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| 650 |
|
7 |
|a Bayesian statistical decision theory
|2 fast
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| 650 |
|
7 |
|a Belief and doubt
|2 fast
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| 650 |
|
7 |
|a Knowledge, Theory of
|2 fast
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| 650 |
|
7 |
|a Probabilities
|2 fast
|
| 758 |
|
|
|i has work:
|a FUNDAMENTALS OF BAYESIAN EPISTEMOLOGY 1 (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCYPYgYmYG4vrhywkM3XhbH
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Titelbaum, Michael G.
|t Fundamentals of Bayesian epistemology 1.
|b First edition.
|d Oxford : Oxford University Press, 2022
|z 9780198707608
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://academic.oup.com/book/41943
|y Click for online access
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| 903 |
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|a OUP-SOEBA
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| 994 |
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|a 92
|b HCD
|