Beyond Traditional Probabilistic Methods in Economics

  • Vladik Kreinovich
  • Nguyen Ngoc Thach
  • Nguyen Duc Trung
  • Dang Van Thanh
Conference proceedings ECONVN 2019

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. General Theory

    1. Front Matter
      Pages 1-1
    2. Hung T. Nguyen, Nguyen Duc Trung, Nguyen Ngoc Thach
      Pages 3-21
    3. William M. Briggs
      Pages 22-44
    4. Boualem Djehiche, Julian Barreiro-Gomez, Hamidou Tembine
      Pages 45-64
    5. Akira Namatame
      Pages 90-99
    6. Hung T. Nguyen, Nguyen Ngoc Thach
      Pages 100-112
    7. Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, Hoang Phuong Nguyen
      Pages 129-136
    8. Thongchai Dumrongpokaphan, Vladik Kreinovich, Songsak Sriboonchitta
      Pages 137-145
    9. Ziwei Ma, Ying-Ju Chen, Tonghui Wang, Wuzhen Peng
      Pages 146-162
    10. Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
      Pages 163-167
    11. Tran Anh Tuan, Vladik Kreinovich, Thach Ngoc Nguyen
      Pages 176-184
    12. Xiaonan Zhu, Tonghui Wang, Xiaoting Zhang, Liang Wang
      Pages 185-197
  3. Fixed-Point Theory

    1. Front Matter
      Pages 199-199
    2. Aqeel Shahzad, Abdullah Shoaib, Konrawut Khammahawong, Poom Kumam
      Pages 215-229
    3. Pasakorn Yordsorn, Phumin Sumalai, Piyachat Borisut, Poom Kumam, Yeol Je Cho
      Pages 230-250
    4. Phumin Sumalai, Ehsan Pourhadi, Khanitin Muangchoo-in, Poom Kumam
      Pages 251-261
  4. Applications

    1. Front Matter
      Pages 271-271
    2. Bui Huy Khoi, Dang Ngoc Dai, Nguyen Huu Lam, Nguyen Van Chuong
      Pages 273-281
    3. Duong Quynh Nga, Pham Minh Dien, Nguyen Tran Cam Linh, Nguyen Thi Hong Tuoi
      Pages 282-295
    4. Luu Xuan Khoi, Nguyen Duc Trung, Luu Xuan Van
      Pages 296-310
    5. Le Phan Thi Dieu Thao, Le Thi Thuy Hang, Nguyen Xuan Dung
      Pages 323-351
    6. An H. Pham, Cuong K. Q. Tran, Loan K. T. Vo
      Pages 417-426
    7. Pham Ngoc Thanh, Nguyen Duy Phuong, Bui Hoang Ngoc
      Pages 427-439
    8. Yen H. Vu, Nhan T. Nguyen, Trang T. T. Nguyen, Anh T. L. Pham
      Pages 440-451
    9. Petchaluck Boonyakunakorn, Pathairat Pastpipatkul, Songsak Sriboonchitta
      Pages 452-462
    10. Nhan Thanh Nguyen, Huong Ngoc Vu, Thu Ha Le
      Pages 463-476
    11. Tran Minh Tam, Le Quang Minh, Le Thi Khuyen, Ngo Phu Thanh
      Pages 477-496
    12. Hoang Thi Thanh Hang, Vo Kieu Trinh, Ha Nguyen Tuong Vy
      Pages 522-532
    13. H. P. T. N. Silva, G. S. Dissanayake, T. S. G. Peiris
      Pages 567-580
    14. Trinh Hoang Nam, Vuong Duc Hoang Quan
      Pages 606-620
    15. Doan Thi Ta, Thanh Vinh Nguyen, Hai Huu Do
      Pages 621-635
    16. Doan Thi Ta, Hai Huu Do, Ngoc Sy Ho, Thanh Bao Truong
      Pages 636-659
    17. Ngoc Sy Ho, Hai Huu Do, Hai Ngoc Hoang, Huong Van Nguyen, Dung Tien Nguyen, Tai Tu Pham
      Pages 660-677

About these proceedings


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.


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

Editors and affiliations

  • Vladik Kreinovich
    • 1
  • Nguyen Ngoc Thach
    • 2
  • Nguyen Duc Trung
    • 3
  • Dang Van Thanh
    • 4
  1. 1.Department of Computer ScienceUniversity of Texas at El PasoEl PasoUSA
  2. 2.Banking University HCMCHo Chi Minh CityVietnam
  3. 3.Banking University HCMCHo Chi Minh CityVietnam
  4. 4.TTC GroupHo Chi Minh CityVietnam

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