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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering
(Gebundene Ausgabe, Englisch)
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Beschreibung
These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on… the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications. Interest in the foundations of inductive statistics has been growing with the increasing availability of Bayesian methodological alternatives, and scientists now face much more difficult choices in finding the optimal methods to apply to their problems. By carefully examining and discussing the relevant foundations, the scientific community can avoid applying Bayesian methods on a merely ad hoc basis. For over 35 years, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering application contexts. The workshops welcome contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. Areas of application in these workshops include astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, materials science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and the social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling are also regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, as well as novel applications of inferenceto illuminate the foundations of physical theories, are also of keen interest. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
14.07.2018
Sprache
Englisch
EAN
9783319911427
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Springer Proceedings in Mathematics & Statistics
Sonderedition
Nein
Seitenanzahl
304
Auflage
1
Einbandart
Gebundene Ausgabe
Buch Untertitel
MaxEnt 37, Jarinu, Brazil, July 09–14, 2017
Schlagwörter
Entropy, Imprecise Probability, Maximum Entropy, Biostatistics, Non-parametric Mmethods, Survival Analysis, Statistical Models, Astrophysics, Chemistry, Communications Theory, Comology, Climate Studies, Earth Science, Fluid Mechanics, Genetics, Geophysics, Machine Learning, Material Science, Medical Imaging, Robotics
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
PHH - Thermodynamik und Wärme
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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