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Bayesian Philosophy of Science (Hardcover)
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Bayesian Philosophy of Science (Hardcover)
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How should we reason in science? Jan Sprenger and Stephan Hartmann
offer a refreshing take on classical topics in philosophy of
science, using a single key concept to explain and to elucidate
manifold aspects of scientific reasoning. They present good
arguments and good inferences as being characterized by their
effect on our rational degrees of belief. Refuting the view that
there is no place for subjective attitudes in 'objective science',
Sprenger and Hartmann explain the value of convincing evidence in
terms of a cycle of variations on the theme of representing
rational degrees of belief by means of subjective probabilities
(and changing them by Bayesian conditionalization). In doing so,
they integrate Bayesian inference-the leading theory of rationality
in social science-with the practice of 21st century science.
Bayesian Philosophy of Science thereby shows how modeling such
attitudes improves our understanding of causes, explanations,
confirming evidence, and scientific models in general. It combines
a scientifically minded and mathematically sophisticated approach
with conceptual analysis and attention to methodological problems
of modern science, especially in statistical inference, and is
therefore a valuable resource for philosophers and scientific
practitioners.
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