Studies in Computational Intelligence

SCOPUS (2006-2023)

  1860-9503

  1860-949X

  Đức

Cơ quản chủ quản:  Springer Verlag

Lĩnh vực:
Artificial Intelligence

Các bài báo tiêu biểu

Beyond Traditional Probabilistic Methods in Econometrics
- Trang 3-21 - 2019
Nguyen, Hung T., Trung, Nguyen Duc, Thach, Nguyen Ngoc
We elaborate on various uncertainty calculi in current research efforts to improve empirical econometrics. These consist essentially of considering appropriate non additive (and non commutative) probabilities, as well as taking into account economic data which...
A Closer Look at the Modeling of Economics Data
- Trang 100-112 - 2019
Nguyen, Hung T., Thach, Nguyen Ngoc
By taking a closer look at the traditional way we used to proceed to conduct empirical research in economics, especially in using “traditional” proposed models for economical dynamics, we elaborate on current efforts to improve its research methodology....
Reinforcement Learning Algorithms: Analysis and Applications
- 2021
Boris Belousov, Hany Abdulsamad, Pascal Klink, Simone Parisi, Jan Peters
The Impact of Public Expenditure on Economic Growth of Provinces and Cities in the Southern Key Economic Zone of Vietnam: Bayesian Approach
- Trang 328-344 - 2022
Oanh, Tran Thi Kim, Diep, Nguyen Van, Truyen, Pham Thanh, Chau, Nguyen Xuan Bao
This study assesses the impact of public expenditure on the economic growth of the Southern Key Economic Zone (SKEZ) of Vietnam. The results, using data of 8 provinces and cities of SKEZ from 2005 to 2016, by following the Bayesian approach and Gibbs sampling...
Quantum Ideas in Economics Beyond Quantum Econometrics
- Trang 146-151 - 2018
Kreinovich, Vladik, Nguyen, Hung T., Sriboonchitta, Songsak
It is known that computational methods developed for solving equations of quantum physics can be successfully applied to solve economic problems; there is a whole related research area called quantum econometrics. Current quantum econometrics techniques are based on...
The Replacement for Hypothesis Testing
- Trang 3-17 - 2019
Briggs, William M., Nguyen, Hung T., Trafimow, David
Classical hypothesis testing, whether with p-values or Bayes factors, leads to over-certainty, and produces the false idea that causes have been identified via statistical methods. The limitations and abuses of in particular p-values are so well known and by now so...
The Seasonal Affective Disorder Cycle on the Vietnam’s Stock Market
- Trang 873-885 - 2019
Thach, Nguyen Ngoc, Van Le, Nguyen, Van Diep, Nguyen
In this study, the authors used the TGARCH(1,1) model according to three different distribution patterns: normal distribution (Gaussian distribution), Student-t distribution, and generalized error distribution (GED) to analyze the effect of Seasonal Affective...
Tại sao một số họ phân phối xác suất lại hiệu quả trong thực tiễn: Giải thích dựa trên đối xứng Dịch bởi AI
- Trang 133-152 - 2016
Kreinovich, Vladik, Kosheleva, Olga, Nguyen, Hung T., Sriboonchitta, Songsak
Trong số nhiều họ phân phối xác suất có thể có, một số họ đã chứng tỏ là hiệu quả nhất trong các tình huống thực tiễn. Tại sao lại là những họ này mà không phải là những họ khác? Để giải thích thành công thực nghiệm này, chúng tôi xây dựng bài toán tổng quát về việc chọn một...
Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem
- Trang 123-133 - 2017
Kreinovich, Vladik, Nguyen, Hung T., Sriboonchitta, Songsak, Kosheleva, Olga
In many real-life situations, a random quantity is a joint result of several independent factors, i.e., a sum of many independent random variables. The description of such sums is facilitated by the Central Limit Theorem, according to which, under reasonable...
Mercury Retrograde and Stock Market Returns in Vietnam
- Trang 303-313 - 2019
Thach, Nguyen Ngoc, Van Diep, Nguyen
The article analyses the impact of the phenomenon of Mercury retrograde on Vietnam stock market returns. With the data as daily closing price of VN-Index collected by Ho Chi Minh City Stock Exchange (HOSE) for the 2002–2017 period, the authors estimate...