Skip to main content
  • Conference proceedings
  • © 2019

Beyond Traditional Probabilistic Methods in Economics

  • Includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2019), held in Ho Chi Minh City, Vietnam on January 14–16, 2019

  • Presents recent research on probabilistic methods in economics, from machine learning to statistical analysis, the problem of modeling structural changes in data, and a fresh look at cognitive decision-making affecting predictive modeling of financial data

  • Written by respected experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 809)

Conference series link(s): ECONVN: International Econometric Conference of Vietnam

Conference proceedings info: ECONVN 2019.

Buying options

eBook USD 349.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-04200-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 449.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (84 papers)

  1. Front Matter

    Pages i-xiv
  2. General Theory

    1. Front Matter

      Pages 1-1
    2. Beyond Traditional Probabilistic Methods in Econometrics

      • Hung T. Nguyen, Nguyen Duc Trung, Nguyen Ngoc Thach
      Pages 3-21
    3. Everything Wrong with P-Values Under One Roof

      • William M. Briggs
      Pages 22-44
    4. Mean-Field-Type Games for Blockchain-Based Distributed Power Networks

      • Boualem Djehiche, Julian Barreiro-Gomez, Hamidou Tembine
      Pages 45-64
    5. Agent-Based Artificial Financial Market

      • Akira Namatame
      Pages 90-99
    6. A Closer Look at the Modeling of Economics Data

      • Hung T. Nguyen, Nguyen Ngoc Thach
      Pages 100-112
    7. Why Hammerstein-Type Block Models Are so Efficient: Case Study of Financial Econometrics

      • Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, Hoang Phuong Nguyen
      Pages 129-136
    8. Why Threshold Models: A Theoretical Explanation

      • Thongchai Dumrongpokaphan, Vladik Kreinovich, Songsak Sriboonchitta
      Pages 137-145
    9. The Inference on the Location Parameters Under Multivariate Skew Normal Settings

      • Ziwei Ma, Ying-Ju Chen, Tonghui Wang, Wuzhen Peng
      Pages 146-162
    10. Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data

      • Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
      Pages 163-167
    11. Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion

      • Tran Anh Tuan, Vladik Kreinovich, Thach Ngoc Nguyen
      Pages 176-184
    12. Comparisons on Measures of Asymmetric Associations

      • Xiaonan Zhu, Tonghui Wang, Xiaoting Zhang, Liang Wang
      Pages 185-197
  3. Fixed-Point Theory

    1. Front Matter

      Pages 199-199
    2. New Ciric Type Rational Fuzzy F-Contraction for Common Fixed Points

      • Aqeel Shahzad, Abdullah Shoaib, Konrawut Khammahawong, Poom Kumam
      Pages 215-229

Other Volumes

  1. Beyond Traditional Probabilistic Methods in Economics

About this book

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.

Keywords

  • Computational Intelligence
  • Intelligent Systems
  • Econometrics
  • Probabilistic Methods
  • Economic Data Analysis
  • ECONVN2019
  • ECONVN

Editors and Affiliations

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

  • Banking University HCMC, Ho Chi Minh City, Vietnam

    Nguyen Ngoc Thach, Nguyen Duc Trung

  • TTC Group, Ho Chi Minh City, Vietnam

    Dang Van Thanh

Bibliographic Information

Buying options

eBook USD 349.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-04200-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 449.99
Price excludes VAT (USA)