Beyond Traditional Probabilistic Methods in Economics

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  • Author : Vladik Kreinovich
  • Publisher : Springer
  • Pages : 1157 pages
  • ISBN : 3030042006
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Beyond Traditional Probabilistic Methods in Economics

Download or Read online Beyond Traditional Probabilistic Methods in Economics full in PDF, ePub and kindle. this book written by Vladik Kreinovich and published by Springer which was released on 24 November 2018 with total page 1157 pages. We cannot guarantee that Beyond Traditional Probabilistic Methods in Economics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 uncertainty: 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.

Beyond Traditional Probabilistic Methods in Economics

Beyond Traditional Probabilistic Methods in Economics
  • Author : Vladik Kreinovich,Nguyen Ngoc Thach,Nguyen Duc Trung,Dang Van Thanh
  • Publisher : Springer
  • Release : 24 November 2018
GET THIS BOOK Beyond Traditional Probabilistic Methods in Economics

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 uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations,

Beyond Traditional Probabilistic Data Processing Techniques Interval Fuzzy etc Methods and Their Applications

Beyond Traditional Probabilistic Data Processing Techniques  Interval  Fuzzy etc  Methods and Their Applications
  • Author : Olga Kosheleva,Sergey P. Shary,Gang Xiang,Roman Zapatrin
  • Publisher : Springer Nature
  • Release : 28 February 2020
GET THIS BOOK Beyond Traditional Probabilistic Data Processing Techniques Interval Fuzzy etc Methods and Their Applications

Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such

Behavioral Predictive Modeling in Economics

Behavioral Predictive Modeling in Economics
  • Author : Songsak Sriboonchitta,Vladik Kreinovich,Woraphon Yamaka
  • Publisher : Springer Nature
  • Release : 05 August 2020
GET THIS BOOK Behavioral Predictive Modeling in Economics

This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a

Statistical and Fuzzy Approaches to Data Processing with Applications to Econometrics and Other Areas

Statistical and Fuzzy Approaches to Data Processing  with Applications to Econometrics and Other Areas
  • Author : Vladik Kreinovich
  • Publisher : Springer Nature
  • Release : 19 June 2020
GET THIS BOOK Statistical and Fuzzy Approaches to Data Processing with Applications to Econometrics and Other Areas

Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers – which help us understand real-life processes and make better decisions based on that understanding – get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Therefore, it is important

Whatever Works

Whatever Works
  • Author : Thalma Lobel
  • Publisher : BenBella Books
  • Release : 14 July 2020
GET THIS BOOK Whatever Works

An internationally renowned psychologist shows us how overlooked factors in our work days-our physical environments, our unconscious habits, and even traits like our faces and voices-have the power to make or break our careers. In Whatever Works: The Small Cues That Make a Surprising Difference in our Success at Work—and How to Create a Happier Office, Thalma Lobel, one of the world's leading experts on human behavior, explores groundbreaking psychological research on job performance, satisfaction, and creativity. Lobel goes

Recent Developments in Post Keynesian Economics

Recent Developments in Post Keynesian Economics
  • Author : Philip Arestis,Victoria Chick,Post-Keynesian Economics Study Group
  • Publisher : Edward Elgar Pub
  • Release : 22 April 1992
GET THIS BOOK Recent Developments in Post Keynesian Economics

This book presents new work by leading post-Keynesian economists in the areas of methodology, pricing, distribution and policy. Philip Arestis and Victoria Chick have selected innovative new papers which illustrate the vitality of the post-Keynesian tradition. Written by leading specialists in their respective fields of research, it will be required reading for all economists with an interest in non-neoclassical economics.

Risk based Inspection General document

Risk based Inspection  General document
  • Author : Anonim
  • Publisher : Unknown
  • Release : 22 April 1991
GET THIS BOOK Risk based Inspection General document

RECENT CASTASTROPHIC STRUCTURAL FAILURES, OCCURING ACROSS MANY INDUSTRIES, HIGHLIGHT THE NEED FOR SOCIETY TO RELATE RISK MORE EXPLICITLY WITH INSPECTION PROGRAMS. THIS VOLUME DESCRIBES AND RECOMMENDS APPROPRIATE PROCESSES AND METHODS USING RISK-BASED INFORMATION TO ESTABLISH INSPECTION GUIDELINES FOR FACILITIES OR STRUCTURAL SYSTEMS.

Modeling Dependence in Econometrics

Modeling Dependence in Econometrics
  • Author : Van-Nam Huynh,Vladik Kreinovich,Songsak Sriboonchitta
  • Publisher : Springer Science & Business Media
  • Release : 18 November 2013
GET THIS BOOK Modeling Dependence in Econometrics

In economics, many quantities are related to each other. Such economic relations are often much more complex than relations in science and engineering, where some quantities are independence and the relation between others can be well approximated by linear functions. As a result of this complexity, when we apply traditional statistical techniques - developed for science and engineering - to process economic data, the inadequate treatment of dependence leads to misleading models and erroneous predictions. Some economists even blamed such