£122.55

Springer Bayesian Inference and MaxEnt Methods - MaxEnt 37

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Description

Expand your research capabilities with the proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017). This volume, part of the Springer Proceedings in Mathematics and Statistics series, brings together scholarly research from the workshop held in Sao Carlos, Brazil. This book focuses on the foundations of the Bayesian paradigm and provides a deep look at inductive statistics methods. Readers can explore comparative studies between Bayesian approaches and objectivistic or frequentist statistics counterparts. By gathering diverse research from scholars across many different fields, this text serves as a resource for those looking to apply these methods within the scientific community. Whether you are studying the theoretical foundations or looking for appropriate applications in science and engineering, these proceedings offer a comprehensive collection of current academic thought.

Key Features

Contains research from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering.

Provides a detailed look at the foundations of the Bayesian paradigm and inductive statistics methods.

Includes comparative analysis between Bayesian methods and frequentist or objectivistic statistics.

Gathers diverse research from scholars working across many different scientific and engineering fields.

Part of the recognized Springer Proceedings in Mathematics and Statistics series (Volume 239).

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
10 January 2019
Listed Since
09 January 2019

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