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Titlebook: Bayesian Inference and Maximum Entropy Methods in Science and Engineering; MaxEnt 37, Jarinu, B Adriano Polpo,Julio Stern,Hellinton Takada

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期刊全称Bayesian Inference and Maximum Entropy Methods in Science and Engineering
期刊简称MaxEnt 37, Jarinu, B
影响因子2023Adriano Polpo,Julio Stern,Hellinton Takada
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发行地址Presents cutting-edge research from a wide variety of science and engineering fields that use inductive statistics.Examines and discusses the foundations of inductive statistics, addressing the growin
学科分类Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Bayesian Inference and Maximum Entropy Methods in Science and Engineering; MaxEnt 37, Jarinu, B Adriano Polpo,Julio Stern,Hellinton Takada
影响因子.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, inclu
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https://doi.org/10.1057/978-1-349-70920-5roposal of new approaches to the study of macroeconomical systems, in particular, with the introduction of thermodynamics and statistical physics methods. In this paper, we offer a brief review of the application of the maximum entropy framework in macroeconomics, centered around the different interpretations of the equlibrium concept.
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Probabilistic Equilibrium: A Review on the Application of MAXENT to Macroeconomic Models,roposal of new approaches to the study of macroeconomical systems, in particular, with the introduction of thermodynamics and statistical physics methods. In this paper, we offer a brief review of the application of the maximum entropy framework in macroeconomics, centered around the different interpretations of the equlibrium concept.
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Bayesian Approach to Variable Splitting Forward Models,same kind of optimization algorithms as Alternating Direction Method of Multipliers (ADMM) or Iterative Shrinkage Thresholding Algorithm (ISTA) optimization ones. However, the Bayesian approach gives us the tools to go further by estimating the hyperparameters of the inversion problems which are often crucial in real applications.
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https://doi.org/10.1057/978-1-137-56005-6same kind of optimization algorithms as Alternating Direction Method of Multipliers (ADMM) or Iterative Shrinkage Thresholding Algorithm (ISTA) optimization ones. However, the Bayesian approach gives us the tools to go further by estimating the hyperparameters of the inversion problems which are often crucial in real applications.
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Conference proceedings 2018ld 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
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