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Mathematics, Volume 12, Issue 5

March-1 2024 - 166 articles

Cover Story: Causality has become a powerful tool for addressing the out-of-distribution (OOD) generalization problem and existing methods for learning invariant features are based on optimization, which fails to converge to the optimal solution. Thus, obtaining the variables that cause the target outcome through a causal inference method is a more effective method. This paper presents a new approach for invariant feature learning based on causal inference (IFCI). IFCI detects causal variables unaffected by the environment through the causal inference method and focuses on partial causal relationships. The result shows that IFCI can detect and filter out environmental variables affected by the environment. After filtering out environmental variables, even a model with a simple structure and common loss function can have a strong OOD generalization capability. View this paper
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Articles (166)

  • Article
  • Open Access
2 Citations
1,734 Views
13 Pages

6 March 2024

This paper concerns an improved model-free adaptive fractional-order control with a high-order pseudo-partial derivative for uncertain discrete-time nonlinear systems. Firstly, a new equivalent model is obtained by employing the Grünwald–L...

  • Article
  • Open Access
1,792 Views
23 Pages

6 March 2024

Semi-continuous data are very common in social sciences and economics. In this paper, a Bayesian variable selection procedure is developed to assess the influence of observed and/or unobserved exogenous factors on semi-continuous data. Our formulatio...

  • Article
  • Open Access
21 Citations
5,090 Views
35 Pages

6 March 2024

In this study, we explored the dynamic field of fuzzy logic and artificial intelligence (AI) in financial analysis from 1990 to 2023. Utilizing the bibliometrix package in RStudio and data from the Web of Science, we focused on identifying mathematic...

  • Article
  • Open Access
5 Citations
2,729 Views
16 Pages

6 March 2024

Airport service quality ratings found on social media such as Airline Quality and Google Maps offer invaluable insights for airport management to improve their quality of services. However, there is currently a lack of research analysing these review...

  • Article
  • Open Access
3 Citations
11,537 Views
21 Pages

6 March 2024

In the dynamic world of finance, the application of Artificial Intelligence (AI) in pair trading strategies is gaining significant interest among scholars. Current AI research largely concentrates on regression analyses of prices or spreads between p...

  • Article
  • Open Access
5 Citations
1,707 Views
11 Pages

6 March 2024

We have generalized, in the current study, the results of research presented earlier with the aim of obtaining an approximate solution for the creeping, plane-parallel flow of viscoplastic non-Newtonian fluid where the focus is on the study of rivule...

  • Article
  • Open Access
1 Citations
1,387 Views
16 Pages

6 March 2024

A zero–one-inflated Poisson Lindley distribution has been introduced recently as an alternative to the zero–one-inflated Poisson distribution for describing count data with a substantial number of zeros and ones. Several stochastic repres...

  • Article
  • Open Access
1 Citations
2,213 Views
33 Pages

Handling Overlapping Asymmetric Data Sets—A Twice Penalized P-Spline Approach

  • Matthew McTeer,
  • Robin Henderson,
  • Quentin M. Anstee and
  • Paolo Missier

5 March 2024

Aims: Overlapping asymmetric data sets are where a large cohort of observations have a small amount of information recorded, and within this group there exists a smaller cohort which have extensive further information available. Missing imputation is...

  • Article
  • Open Access
21 Citations
12,318 Views
22 Pages

5 March 2024

Business logistics encompasses the intricate planning, seamless implementation, and precise control of the efficient and effective movement and storage of goods, services, and associated information from their origin to their final consumption point....

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Mathematics - ISSN 2227-7390