Regularization of multiplicative SDEs through additive noise
Author:
Affiliation:
1. Institute of Applied Mathematics, University of Bonn
2. Department of Mathematics, University of Oslo
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference37 articles.
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2. ATHREYA, S., BHAR, S. and SHEKHAR, A. (2017). Smoothness of flow and path-by-path uniqueness in stochastic differential equations. arXiv preprint. Available at arXiv:1709.02115.
3. BECK, L., FLANDOLI, F., GUBINELLI, M. and MAURELLI, M. (2019). Stochastic ODEs and stochastic linear PDEs with critical drift: Regularity, duality and uniqueness. Electron. J. Probab. 24 Paper No. 136, 72.
4. BIAGINI, F., HU, Y., ØKSENDAL, B. and ZHANG, T. (2008). Stochastic Calculus for Fractional Brownian Motion and Applications. Probability and Its Applications (New York). Springer London, Ltd., London.
5. BUTKOVSKY, O., DAREIOTIS, K. and GERENCSÉR, M. (2021). Approximation of SDEs: A stochastic sewing approach. Probab. Theory Related Fields 181 975–1034.
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