Convergence rates of Gibbs measures with degenerate minimum

Article Properties
  • DOI (url)
  • Publication Date
    2022/11/01
  • Journal
  • Indian UGC (journal)
  • Refrences
    20
  • Citations
    2
  • Pierre Bras Laboratoire de Probabilités, Statistique et Modélisation, UMR 8001, case 188, Sorbonne Université, 4 pl. Jussieu, F-75252 Paris Cedex 5, France
Cite
Bras, Pierre. “Convergence Rates of Gibbs Measures With Degenerate Minimum”. Bernoulli, vol. 28, no. 4, 2022, https://doi.org/10.3150/21-bej1424.
Bras, P. (2022). Convergence rates of Gibbs measures with degenerate minimum. Bernoulli, 28(4). https://doi.org/10.3150/21-bej1424
Bras, Pierre. “Convergence Rates of Gibbs Measures With Degenerate Minimum”. Bernoulli 28, no. 4 (2022). https://doi.org/10.3150/21-bej1424.
Bras P. Convergence rates of Gibbs measures with degenerate minimum. Bernoulli. 2022;28(4).
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-94-015-7744-1_2
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence 36 2016
10.1090/S0002-9939-1981-0612737-8
Laplace's Method Revisited: Weak Convergence of Probability Measures The Annals of Probability
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
71 1980
10.1007/BF01443605
Citations
Title Journal Journal Categories Citations Publication Date
Convergence of Langevin-simulated annealing algorithms with multiplicative noise

Mathematics of Computation
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1 2024
Swing contract pricing: With and without neural networks Frontiers of Mathematical Finance 2024
Citations Analysis
The category Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Swing contract pricing: With and without neural networks and was published in 2024. The most recent citation comes from a 2024 study titled Swing contract pricing: With and without neural networks. This article reached its peak citation in 2024, with 2 citations. It has been cited in 2 different journals. Among related journals, the Frontiers of Mathematical Finance cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year