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[null,"1.","Record Nr.",null,"UNISA996234846203316"]
[null,null,"Autore",null,"Schurz Gerhard"]
[null,null,"Titolo",null,"Wahrscheinlichkeit / / Gerhard Schurz"]
[null,null,"Pubbl/distr/stampa",null,"Berlin ; ; Boston : , : De Gruyter, , [2015]"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"3-11-042056-2"]
[{"$nulls":4},"3-11-042036-8"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (236 p.)"]
[null,null,"Collana",null,"Grundthemen Philosophie"]
[null,null,"Disciplina",null,"192.1092764"]
[null,null,"Soggetti",null,"Probabilities"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Frontmatter -- Persönliches Vorwort -- Technische Anmerkungen -- Inhaltsverzeichnis -- 1 Einführung -- 2 Objektive und epistemische Wahrscheinlichkeit -- 3 Mathematische Grundlagen der Wahrscheinlichkeit -- 4 Rechtfertigung von Schlussarten innerhalb der Wahrscheinlichkeitstheorie -- 5 Probleme des objektiv-statistischen Wahrscheinlichkeitsbegriffs -- 6 Probleme des subjektiv-epistemischen Wahrscheinlichkeitsbegriffs -- 7 Beziehungen zwischen objektiven und epistemischen Wahrscheinlichkeiten: ein dualistischer Ansatz -- 8 Die Überprüfung statistischer Hypothesen -- 9 Bayes-Statistik und Bayesianismus -- 10 Logisch-mathematischer Anhang -- Anmerkungen -- Literatur -- Verzeichnis der Abbildungen, Definitionen und Sätze -- Personenindex -- Sachindex"]
[null,null,null,"Sommario/riassunto","While the experimental sciences address statistical probability, philosophy looks at probability in a subjective sense as gradations of rational belief. Schurz develops a dualistic approach to combine these two notions. Drawing on Kant, he asserts that a subjective probability theory without statistical probability is blind, but statistical probability without subjective probability theory is empty."]
[{"$nulls":4},"Während in den experimentellen Wissenschaften fast ausschließlich von statistischer Wahrscheinlichkeit die Rede ist, verstehen in der Philosophie einflussreiche Bayesianer Wahrscheinlichkeit durchweg im subjektiven Sinn rationaler Glaubensgrade, wogegen die dritte Gruppe der mathematischen Wahrscheinlichkeitstheoretiker diesen Interpretationskonflikt ignoriert. In diesem Buch wird die Auffassung vertreten, dass man beide Wahrscheinlichkeitsbegriffe benötigt, "]
[{"$nulls":4},"weshalb ein dualistischer Ansatz entwickelt wird, dem es darum geht, Brückenprinzipien zwischen beiden Wahrscheinlichkeitsbegriffen herauszuarbeiten. In Anlehnung an einen bekannten Passus von Kant lässt sich die dualistische Position so formulieren: Subjektive ohne statistische Wahrscheinlichkeitstheorie ist blind, statistische ohne subjektive Wahrscheinlichkeitstheorie ist leer. Die dualistische Position bedeutet jedoch nicht, dass alles, was in beiden Positionen behauptet wurde, übernommen werden kann; dies würde zu Widersprüchen führen. In beiden Positionen müssen gewisse Anteile fallen gelassen werden, um zu einer kohärenten dualistischen Wahrscheinlichkeitstheorie zu gelangen."]
[null,"2.","Record Nr.",null,"UNINA9910146778903321"]
[null,null,"Titolo",null,"2005 4th International Workshop on Information Processing in Sensor Networks"]
[null,null,"Pubbl/distr/stampa",null,"[Place of publication not identified], : I E E E, 2005"]
[null,null,"ISBN",null,"9781509097708"]
[{"$nulls":4},"1509097708"]
[null,null,"Descrizione fisica",null,"1 online resource"]
[null,null,"Disciplina",null,"025.04"]
[null,null,"Soggetti",null,"Information networks"]
[{"$nulls":4},"Multisensor data fusion"]
[{"$nulls":4},"Sensor networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Sommario/riassunto","We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterative scheme, based on distributed average consensus in the network, to compute the maximum-likelihood estimate of the parameters. This scheme doesn't involve explicit point-to-point message passing or routing; instead, it diffuses information across the network by updating each node's data with a weighted average of its neighbors' data (they maintain the same data structure). At each step, every node can compute a local weighted least-squares estimate, which converges to the global maximum-likelihood solution. This scheme is robust to unreliable communication links. We show that it works in a network with dynamically changing topology, provided that the infinitely occurring communication graphs are jointly connected."]
[null,"3.","Record Nr.",null,"UNINA9910637793903321"]
[null,null,"Autore",null,"Simonović Slobodan P"]
[null,null,"Titolo",null,"Lowering Risk by Increasing Resilience : Selected Papers from 8th International Conference on Flood Management (ICFM 8)"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"ISBN",null,"3-0365-5736-9"]
[null,null,"Descrizione fisica",null,"1 electronic resource (212 p.)"]
[null,null,"Soggetti",null,"Technology: general issues"]
[{"$nulls":4},"History of engineering & technology"]
[{"$nulls":4},"Conservation of buildings & building materials"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","The reprint identifies key concerns and significant challenges of the future as currently perceived by researchers, industry, policymakers, and other flood management stakeholders. The main themes addressed include: science and technology for flood risk management; handling data and information for flood risk management; flood disaster prevention, mitigation, and adaptation; flood preparedness, response, and recovery; flood decision-making, policy, and governance; and flood resilience."]