Springer Bayesian Inference and MaxEnt Methods - MaxEnt 37

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.