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Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence Book 809)

Unknown Author
4.9/5 (14003 ratings)
Description:This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account.In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques.This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence Book 809). To get started finding Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence Book 809), you are right to find our website which has a comprehensive collection of manuals listed.
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Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence Book 809)

Unknown Author
4.4/5 (1290744 ratings)
Description: This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account.In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques.This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence Book 809). To get started finding Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence Book 809), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
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