Conditional Strong Law of Large Numbers under G-Expectations

Article Properties
  • Language
    English
  • DOI (url)
    10.3390/sym16030272
  • Publication Date
    2024/02/25
  • Journal
    Symmetry
  • Indian UGC (journal)
  • Refrences
    26
  • Jiaqi Zhang Department of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaDepartment of Mathematics, Southern University of Science and Technology, Shenzhen 518055, China ORCID (unauthenticated)
  • Yanyan Tang Department of Mathematics, Southern University of Science and Technology, Shenzhen 518055, China ORCID (unauthenticated)
  • Jie Xiong Department of Mathematics, Southern University of Science and Technology, Shenzhen 518055, ChinaSUSTech International Center for Mathematics, Southern University of Science and Technology, Shenzhen 518055, China ORCID (unauthenticated)
Abstract
Cite
Zhang, Jiaqi, et al. “Conditional Strong Law of Large Numbers under G-Expectations”. Symmetry, vol. 16, no. 3, 2024, p. 272, https://doi.org/10.3390/sym16030272.
Zhang, J., Tang, Y., & Xiong, J. (2024). Conditional Strong Law of Large Numbers under G-Expectations. Symmetry, 16(3), 272. https://doi.org/10.3390/sym16030272
Zhang, Jiaqi, Yanyan Tang, and Jie Xiong. “Conditional Strong Law of Large Numbers under G-Expectations”. Symmetry 16, no. 3 (2024): 272. https://doi.org/10.3390/sym16030272.
1.
Zhang J, Tang Y, Xiong J. Conditional Strong Law of Large Numbers under G-Expectations. Symmetry. 2024;16(3):272.
Journal Categories
Science
Mathematics
Science
Science (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Extended conditional <i>G</i>-expectations and related stopping times

 Probability, Uncertainty and Quantitative Risk
  • Science: Mathematics: Probabilities. Mathematical statistics
 2 2021
Law of large numbers and central limit theorem under nonlinear expectations Probability, Uncertainty and Quantitative Risk
  • Science: Mathematics: Probabilities. Mathematical statistics
 28 2019
Strong laws of large numbers for sub-linear expectation without independence Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 9 2017
Quasi-continuous random variables and processes under the G-expectation framework Stochastic Processes and their Applications
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 38 2016
Strong laws of large numbers for sub-linear expectations Science China Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 73 2016
Refrences Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics5
Science: Mathematics4
Social Sciences: Economic theory. Demography: Economics as a science2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Social Sciences: Commerce: Business1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Science: Mathematics: Probabilities. Mathematical statistics 5 is the most frequently represented among the references in this article. It primarily includes studies from The Annals of Probability and Probability, Uncertainty and Quantitative Risk. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year