Bibliografías temáticas / Bruno de Finetti

Literatura académica sobre el tema "Bruno de Finetti"

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Publicado: 11 de marzo de 2023

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Artículos de revistas sobre el tema "Bruno de Finetti"

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Artis, M. J. "BRUNO DE FINETTI". Manchester School 53, n.º 4 (diciembre de 1985): 347. http://dx.doi.org/10.1111/j.1467-9957.1985.tb00199.x.

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Ferrara, Giovanna. "Obituary on Bruno de Finetti". ASTIN Bulletin 16, n.º 1 (abril de 1986): 11–12. http://dx.doi.org/10.2143/ast.16.1.2015014.

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Daboni, L. "Ricordo di Bruno de Finetti". Rivista di Matematica per le Scienze Economiche e Sociali 10, n.º 1-2 (marzo de 1987): 91–108. http://dx.doi.org/10.1007/bf02090480.

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de Finetti, Fulvia. "Bruno de Finetti – an Italian on the border". International Journal of Approximate Reasoning 53, n.º 8 (noviembre de 2012): 1110–14. http://dx.doi.org/10.1016/j.ijar.2012.06.011.

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Milne, Peter. "Bruno de Finetti and the Logic of Conditional Events". British Journal for the Philosophy of Science 48, n.º 2 (1 de junio de 1997): 195–232. http://dx.doi.org/10.1093/bjps/48.2.195.

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Pomini, Mario. "The Early Mathematics of Welfare". History of Political Economy 52, n.º 4 (1 de agosto de 2020): 683–707. http://dx.doi.org/10.1215/00182702-8603997.

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Bruno de Finetti (1906–1985) is well known as the founder of the subjective theory of probability. Less known is his contribution to economic theory. The article presents the contributions of de Finetti in the field of welfare economics. He advanced a new mathematical tool: the theory of simultaneous maxima. On this base, he criticized the laissez-faire interpretation of the Paretian theory and advanced the idea of a social welfare function, reflecting the debate on economic planning among Italian corporatist economists.
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Vicig, Paolo y Teddy Seidenfeld. "Bruno de Finetti and imprecision: Imprecise probability does not exist!" International Journal of Approximate Reasoning 53, n.º 8 (noviembre de 2012): 1115–23. http://dx.doi.org/10.1016/j.ijar.2012.06.021.

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Gower, B. S. "Henri Poincaré and bruno de finetti: Conventions and scientific reasoning". Studies in History and Philosophy of Science Part A 28, n.º 4 (diciembre de 1997): 657–79. http://dx.doi.org/10.1016/s0039-3681(97)00013-7.

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Rossi, Carla. "Bruno de Finetti: the mathematician, the statistician, the economist, the forerunner". Statistics in Medicine 20, n.º 24 (2001): 3651–66. http://dx.doi.org/10.1002/sim.1084.

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Barone, Luca. "Bruno de Finetti and the case of the critical line’s last segment". Insurance: Mathematics and Economics 42, n.º 1 (febrero de 2008): 359–77. http://dx.doi.org/10.1016/j.insmatheco.2007.04.003.

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Tesis sobre el tema "Bruno de Finetti"

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Schettini, Gherardini Jacopo Maria. "Reputazione e rischio reputazionale in economia.Un' analisi epistemologica ed una proposta teorica". Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3670.

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2008/2009
Il presente lavoro è un contributo di natura epistemologica. L’obiettivo è duplice. Da un lato osservare la reputazione come una manifestazione di fiducia e concorrere a ridurre ambiguità e vaghezza nel concetto distinguendone gli ambiti indagabili scientificamente da quelli di derivazione metafisica, quindi classificabili tra le affermazioni etiche, ideologiche o di fede. Secondariamente, approdare ad un modello teorico descrittivo che soddisfi la condizione popperiana di falsificabilità. La tesi che s’intende dimostrare, è che, indagando la nozione di reputazione grazie ad alcuni spunti teorici riconducibili al pensiero di Bertrand Russell ed attraverso lo schema classificatorio che Bruno de Finetti applicò alla probabilità, la “buona” reputazione, intesa nella sua modalità “classica” (ovvero come il rispetto di dettami etico–morali) sia priva di valore intrinseco per un’impresa, poiché risponde a delle esigenze di coerenza con impianti astratti privi di legami con la fenomenologia economica. Conseguentemente, la sua presenza o la sua assenza non comportano elementi di pericolo di per sé, ovvero a prescindere dagli obbiettivi aziendali. Quindi, non più “buona” o “cattiva” reputazione, bensì reputazione “adeguata” (o meno) allo scopo, utilmente utilizzabile sia in forma negativa che positiva. Questa proposta teorica, se accettata, aprirebbe spunti di ricerca circa il diverso peso e diverso impatto della reputazione, a secondo che essa si fondi o meno su elementi metafisici. Secondariamente, si ritiene possibile individuare un pericolo, la cui natura sia esclusivamente reputazionale, a cui associare un rischio reputazionale puro, di primo livello, privo di correlazioni con altri rischi (operativi, legali, strategici). Tesi che metterebbe in dubbio la centralità dell’ottica microeconomica nello studio del rischio reputazionale. Infine, si propone l’incompatibilità tra le nozioni di conoscenza, probabilità e reputazione. Impostazione che, se accettata, porrebbe domande sulla coerenza di alcune analisi in dottrina, le quali invece, fanno perno sul principio che sia la conoscenza a determinare la reputazione.
XXII Ciclo
1965
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Libros sobre el tema "Bruno de Finetti"

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Bruno de Finetti, radical probabilist. London: College Publications, 2009.

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2

Luca, Nicotra, ed. Bruno de Finetti: Un matematico scomodo. Livorno: Belforte, c2008., 2008.

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3

Finetti, Fulvia De. Bruno de Finetti: Un matematico scomodo. Livorno: Belforte, c2008., 2008.

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4

Bruno De Finetti: Milano, 8 giugno 2006. Milano: LED, 2010.

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5

Convegno "Ricordo di Bruno De Finetti professore nell'Ateneo triestino" (1986 Trieste, Italy). Atti del Convegno "Ricordo di Bruno De Finetti professore nell'Ateneo triestino": Trieste, 30-31 maggio 1986. Trieste: Dipartimento di matematica applicata "Bruno De Finetti", 1987.

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6

Barucci, Piero, Piero Bini y Lucilla Conigliello, eds. Le sirene del corporativismo e l'isolamento dei dissidenti durante il fascismo. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-455-7.

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The volume collects nine essays on Italian politics, economics, and law during Fascism. Some are dedicated to the ideal objectives of corporatism, aiming at the renewal of politics, institutions and culture, and the objectively dismal results of the implemented policies. Economic researches analyze the debated abolishment of the inheritance tax in the 1923, and the various policies proposed by some Italian economists to counter the disastrous effects of the Great Depression. Specific attention is also given to the problem of the development of Italy’s southern regions. An essay is further dedicated to the influence of corporatism and idealism on the mathematical economist Bruno de Finetti. In the field of law, authors investigate the long lasting features impressed by Fascism on Italian administrative law and, in general, the permanence of a typically Fascist magniloquent style in the Italian jurisdictional language. Lastly, as suggested by title of this volume, a chapter analyses the social and political thinking of Carlo Rosselli, leading anti-fascist intellectual who paid dearly for his dissent.
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7

Bruno, De Finetti, Goel Prem K. 1943- y Zellner Arnold, eds. Bayesian inference and decision techniques: Essays in honor of Bruno de Finetti. Amsterdam: North-Holland, 1986.

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8

Galavotti, Maria Carla. The Origins of Probabilistic Epistemology. Editado por Alan Hájek y Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.8.

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The notion of probability received great attention from 20th-century mathematicians and philosophers alike. This chapter focusses on a number of thinkers who not only devoted great efforts to the notion of probability and its foundations, but also developed a thoroughly probabilistic epistemological perspective. Special attention will be paid to Hans Reichenbach, Harold Jeffreys, and Bruno de Finetti. Although these authors embraced diverging interpretations of probability, namely frequentism in the case of Reichenbach, logicism in the case of Jeffreys, and subjectivism in the case of de Finetti, they shared the conviction that probability is an essential ingredient not just of science, but of human knowledge at large, and laid the foundations of a probabilistic approach to epistemology that is today mainstream.
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Goel, Prem K. Bayesian Inference and Decision Techniques: Essays in Honor of Bruno De Finetti (Studies in Bayesian Econometrics and Statistics, Vol 6). Elsevier Science Ltd, 1986.

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Zabell, Sandy. Symmetry Arguments in Probability. Editado por Alan Hájek y Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.15.

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The history of the use of symmetry arguments in probability theory is traced. After a brief consideration of why these did not occur in ancient Greece, the use of symmetry in probability, starting in the 17th century, is considered. Some of the contributions of Bernoulli, Bayes, Laplace, W. E. Johnson, and Bruno de Finetti are described. One important thread here is the progressive move from using symmetry to identify a single, unique probability function to using it instead to narrow the possibilities to a family of candidate functions via the qualitative concept of exchangeability. A number of modern developments are then discussed: partial exchangeability, the sampling of species problem, and Jeffrey conditioning. Finally, the use or misuse of seemingly innocent symmetry assumptions is illustrated, using a number of apparent paradoxes that have been widely discussed.
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Capítulos de libros sobre el tema "Bruno de Finetti"

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Cifarelli, D. Michele. "Bruno de Finetti". En Mathematical Lives, 109–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13606-1_15.

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Michele Cifarelli, D. "Bruno de Finetti". En Vite matematiche, 155–64. Milano: Springer Milan, 2007. http://dx.doi.org/10.1007/978-88-470-0640-9_12.

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Gandolfo, Giancarlo. "Bruno de Finetti". En Utility and Probability, 96–98. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-20568-4_12.

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Gandolfo, Giancarlo. "De Finetti, Bruno (1906–1985)". En The New Palgrave Dictionary of Economics, 2604–6. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_497.

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Gandolfo, Giancarlo. "De Finetti, Bruno (1906–1985)". En The New Palgrave Dictionary of Economics, 1–3. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_497-1.

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Pomini, Mario. "Bruno de Finetti economista corporativo: dall’economia programmata alla costruzione della funzione di preferenza sociale". En Studi e saggi, 197–212. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-455-7.08.

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Bruno de Finetti (1906-1985) is well known as the founder of the subjective theory of probability. Less known, with a few exceptions, is his contribution to economic theory during the early stage of his scientific career. In the second half of the 1930s, de Finetti was passionately involved in the field of welfare economics. To provide a theoretical framework for evaluating social welfare and to help in designing public policies, he developed a new mathematical tool: the theory of simultaneous maxima. Using this analytical approach, he also advanced the idea of a social welfare function, albeit quite different from the one introduced in 1938 by Abram Bergson, reflecting the debate on the economic planning among Italian economists.
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7

Galavotti, Maria Carla. "Bruno de Finetti, Filosofia della probabilità, ed. by Alberto Mura, Milano: Il Saggiatore, 1995". En Game Theory, Experience, Rationality, 408–11. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1654-3_36.

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Pressacco, Flavio. "Bruno de Finetti, Actuarial Sciences and the Theory of Finance in the 20th Century". En Vinzenz Bronzin’s Option Pricing Models, 519–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85711-2_25.

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Galavotti, Maria Carla. "Subjectivism, Objectivism and Objectivity in Bruno de Finetti’s Bayesianism". En Applied Logic Series, 161–74. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1586-7_7.

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Bucciarelli, Edgardo, Nicola Mattoscio y Valentina Erasmo. "Understanding Bruno de Finetti’s Decision Theory: A Basic Algorithm to Support Decision-Making Behaviour". En Advances in Intelligent Systems and Computing, 62–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60882-2_8.

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