Truth, possibility, and probability [electronic resource] : new logical foundations of probability and statistical inference / Rolando Chuaqui.
Material type:
TextSeries: North-Holland mathematics studies ; 166.Publication details: Amsterdam ; New York : New York, N.Y., U.S.A. : North-Holland ; Distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., 1991. Description: 1 online resource (xvii, 484 p.) : illISBN: 9780444888402; 0444888403Subject(s): Probabilities | Mathematical statistics | Probabilit�es | Statistique math�ematique | Statistiek | Waarschijnlijkheid (statistiek) | Logica | Probabilidade (estatistica) | Mathematical statistics | ProbabilitiesGenre/Form: Electronic books.Additional physical formats: Print version:: Truth, possibility, and probability.DDC classification: 519.2 LOC classification: QA273 | .C574 1991ebOnline resources: ScienceDirect | Volltext Summary: Anyone involved in the philosophy of science is naturally drawn into the study of the foundations of probability. Different interpretations of probability, based on competing philosophical ideas, lead to different statistical techniques, and frequently to mutually contradictory consequences. This unique book presents a new interpretation of probability, rooted in the traditional interpretation that was current in the 17th and 18th centuries. Mathematical models are constructed based on this interpretation, and statistical inference and decision theory are applied, including some examples in artificial intelligence, solving the main foundational problems. Nonstandard analysis is extensively developed for the construction of the models and in some of the proofs. Many nonstandard theorems are proved, some of them new, in particular, a representation theorem that asserts that any stochastic process can be approximated by a process defined over a space with equiprobable outcomes.
Anyone involved in the philosophy of science is naturally drawn into the study of the foundations of probability. Different interpretations of probability, based on competing philosophical ideas, lead to different statistical techniques, and frequently to mutually contradictory consequences. This unique book presents a new interpretation of probability, rooted in the traditional interpretation that was current in the 17th and 18th centuries. Mathematical models are constructed based on this interpretation, and statistical inference and decision theory are applied, including some examples in artificial intelligence, solving the main foundational problems. Nonstandard analysis is extensively developed for the construction of the models and in some of the proofs. Many nonstandard theorems are proved, some of them new, in particular, a representation theorem that asserts that any stochastic process can be approximated by a process defined over a space with equiprobable outcomes.
Includes bibliographical references (p. 469-473) and index.
Description based on print version record.
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