Download e-book for iPad: Belief, Evidence, and Uncertainty: Problems of Epistemic by Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper

By Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper

ISBN-10: 3319277707

ISBN-13: 9783319277707

ISBN-10: 3319277723

ISBN-13: 9783319277721

This paintings breaks new flooring by way of conscientiously distinguishing the strategies of trust, affirmation, and facts after which integrating them right into a greater figuring out of non-public and clinical epistemologies. It outlines a probabilistic framework within which subjective beneficial properties of private wisdom and target positive aspects of public wisdom have their real position. It additionally discusses the bearings of a few statistical theorems on either formal and conventional epistemologies whereas displaying how a number of the latest paradoxes in either may be resolved with the aid of this framework.

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Additional resources for Belief, Evidence, and Uncertainty: Problems of Epistemic Inference

Example text

Quite apart from its failure to capture the intuitive concept of evidence, the notion of absolute confirmation has its own difficulties. We mention two because each throws more light both on the incremental conception and on the distinction with evidence that we use it to make. 36 Suppose a fair lottery with a thousand tickets. Exactly one ticket will win and, since the lottery is fair, each stands an equal chance of doing so. 999. Therefore we have a conclusive reason, on the absolute conception, to believe that it is true.

Journal of the American Statistical Association, 90 (430), 773–795. Keynes, J. M. (1921). A treatise on probability. London: Macmillan. Kotzen, M. (2012). Dragging and Confirming. 1, 55–93. Kyburg, H. (1961). Probability and the logic of rational belief. Wesleyan, CT: Wesleyan University Press. Lele, S. (2004). Evidence Function and the Optimality of the Law of Likelihood. In (Taper and Lele, 2004). Levi, I. (1967). Probability Kinematics. British Journal for the Philosophy of Science, 18, 200– 205.

A Subjectivist’s Guide to Objective Chance. In R. C. ), Studies in inductive logic and probability (Vol. 11). Berkeley: University of California Press. Lindsay, B. (2004). Statistical Distances as Loss Functions in Assessing Model Adequacy. In (Taper and Lele, 2004). Mayo, D. (1996). Error and the growth of experimental knowledge. Chicago: University of Chicago Press. Mayo, D. (2014). How likelihoodists exaggerate evidence from statistical tests. jpeg. Popper, K. (1959) (first published in 1938).

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Belief, Evidence, and Uncertainty: Problems of Epistemic Inference by Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper


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