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ORCIDThongchai Dumrongpokaphan
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Journal Articles
- 2021
[j2]Thongchai Dumrongpokaphan, Sotiris K. Ntouyas
, Thanin Sitthiwirattham:
Separate Fractional (p, q)-Integrodifference Equations via Nonlocal Fractional (p, q)-Integral Boundary Conditions. Symmetry 13(11): 2212 (2021)- [j1]Thongchai Dumrongpokaphan, Nichaphat Patanarapeelert, Thanin Sitthiwirattham:
Nonlocal Neumann Boundary Value Problem for Fractional Symmetric Hahn Integrodifference Equations. Symmetry 13(12): 2303 (2021)
Conference and Workshop Papers
- 2019
- [c8]Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, Hoang Phuong Nguyen:
Why Hammerstein-Type Block Models Are so Efficient: Case Study of Financial Econometrics. ECONVN 2019: 129-136 - [c7]Thongchai Dumrongpokaphan, Vladik Kreinovich, Songsak Sriboonchitta:
Why Threshold Models: A Theoretical Explanation. ECONVN 2019: 137-145 - 2018
- [c6]Thongchai Dumrongpokaphan, Vladik Kreinovich:
Markowitz Portfolio Theory Helps Decrease Medicines' Side Effect and Speed up Machine Learning. ECONVN 2018: 86-93 - [c5]Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan:
Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas. IUKM 2018: 27-38 - 2016
- [c4]Ildar Z. Batyrshin, Thongchai Dumrongpokaphan, Vladik Kreinovich, Olga Kosheleva:
How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach. IUKM 2016: 457-468 - [c3]Mahdokht Afravi, Vladik Kreinovich, Thongchai Dumrongpokaphan:
Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition. MICAI (1) 2016: 219-227 - [c2]Vladik Kreinovich, Olga Kosheleva, Thongchai Dumrongpokaphan:
Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies. WCSC 2016: 465-481 - 2011
- [c1]Thongchai Dumrongpokaphan, W. Jaihonglam, Rujira Ouncharoen:
Stability of a Two Epidemics Model. NL-MUA 2011: 443-451
Parts in Books or Collections
- 2019
- [p6]Songsak Sriboonchitta, Luc Longpré, Vladik Kreinovich, Thongchai Dumrongpokaphan:
Why the Best Predictive Models Are Often Different from the Best Explanatory Models: A Theoretical Explanation. Structural Changes and their Econometric Modeling 2019: 163-171 - 2018
- [p5]Thongchai Dumrongpokaphan, Vladik Kreinovich:
Kuznets Curve: A Simple Dynamical System-Based Explanation. Predictive Econometrics and Big Data 2018: 177-181 - [p4]Vladik Kreinovich, Thongchai Dumrongpokaphan:
How to Estimate Statistical Characteristics Based on a Sample: Nonparametric Maximum Likelihood Approach Leads to Sample Mean, Sample Variance, etc. Predictive Econometrics and Big Data 2018: 192-197 - [p3]Vladik Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga Kosheleva:
How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy. Predictive Econometrics and Big Data 2018: 198-204 - 2017
- [p2]Thongchai Dumrongpokaphan, Vladik Kreinovich:
Why Cannot We Have a Strongly Consistent Family of Skew Normal (and Higher Order) Distributions. Robustness in Econometrics 2017: 69-77 - [p1]Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan:
How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES. Robustness in Econometrics 2017: 89-98
Coauthor Index
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