Quasi-continuous random variables and processes under the G-expectation framework

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Hu, Mingshang, et al. “Quasi-Continuous Random Variables and Processes under the G-Expectation Framework”. Stochastic Processes and Their Applications, vol. 126, no. 8, 2016, pp. 2367-8, https://doi.org/10.1016/j.spa.2016.02.003.
Hu, M., Wang, F., & Zheng, G. (2016). Quasi-continuous random variables and processes under the G-expectation framework. Stochastic Processes and Their Applications, 126(8), 2367-2387. https://doi.org/10.1016/j.spa.2016.02.003
Hu, Mingshang, Falei Wang, and Guoqiang Zheng. “Quasi-Continuous Random Variables and Processes under the G-Expectation Framework”. Stochastic Processes and Their Applications 126, no. 8 (2016): 2367-87. https://doi.org/10.1016/j.spa.2016.02.003.
Hu M, Wang F, Zheng G. Quasi-continuous random variables and processes under the G-expectation framework. Stochastic Processes and their Applications. 2016;126(8):2367-8.
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Refrences Analysis
Category Category Repetition
Science: Mathematics6
Science: Mathematics: Probabilities. Mathematical statistics5
The category Science: Mathematics 6 is the most frequently represented among the references in this article. It primarily includes studies from Stochastic Processes and their Applications and Potential Analysis. The chart below illustrates the number of referenced publications per year.
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Citations
Title Journal Journal Categories Citations Publication Date
The Cox-Ingersoll-Ross process under volatility uncertainty Journal of Mathematical Analysis and Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2024
Multi-dimensional mean-reflected BSDEs driven by G-Brownian motion with time-varying non-Lipschitz coefficients Statistics & Probability Letters
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2024
Conditional Strong Law of Large Numbers under G-Expectations

 Symmetry
  • Science: Mathematics
  • Science: Science (General)
 2024
Relationship between maximum principle and dynamic programming principle for stochastic recursive optimal control problem under volatility uncertainty

 Optimal Control Applications and Methods
  • Technology: Mechanical engineering and machinery
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2023
Reflected Backward Stochastic Differential Equations Driven by G-Brownian Motion Under Monotonicity Condition Journal of Theoretical Probability
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2023
Citations Analysis
Category Category Repetition
Science: Mathematics32
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods18
Science: Mathematics: Probabilities. Mathematical statistics11
Technology: Mechanical engineering and machinery4
Technology: Engineering (General). Civil engineering (General)4
Social Sciences: Finance3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Social Sciences: Statistics2
Social Sciences: Economic theory. Demography: Economics as a science2
Social Sciences: Commerce: Business2
Technology: Manufactures: Production management. Operations management1
Science: Science (General)1
The category Science: Mathematics 32 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Some properties for Itô processes driven by $G$-Brownian motion and was published in 2017. The most recent citation comes from a 2024 study titled Conditional Strong Law of Large Numbers under G-Expectations. This article reached its peak citation in 2020, with 7 citations. It has been cited in 24 different journals, 8% of which are open access. Among related journals, the Journal of Mathematical Analysis and Applications cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year