Journal articles on the topic 'McKean stochastic differential equation'
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Wang, Weifeng, Lei Yan, Junhao Hu, and Zhongkai Guo. "An Averaging Principle for Mckean–Vlasov-Type Caputo Fractional Stochastic Differential Equations." Journal of Mathematics 2021 (July 16, 2021): 1–11. http://dx.doi.org/10.1155/2021/8742330.
Qiao, Huijie, and Jiang-Lun Wu. "Path independence of the additive functionals for McKean–Vlasov stochastic differential equations with jumps." Infinite Dimensional Analysis, Quantum Probability and Related Topics 24, no. 01 (March 2021): 2150006. http://dx.doi.org/10.1142/s0219025721500065.
Ma, Li, Fangfang Sun, and Xinfang Han. "Controlled Reflected McKean–Vlasov SDEs and Neumann Problem for Backward SPDEs." Mathematics 12, no. 7 (March 31, 2024): 1050. http://dx.doi.org/10.3390/math12071050.
Narita, Kiyomasa. "The Smoluchowski–Kramers approximation for the stochastic Liénard equation by mean-field." Advances in Applied Probability 23, no. 2 (June 1991): 303–16. http://dx.doi.org/10.2307/1427750.
Narita, Kiyomasa. "The Smoluchowski–Kramers approximation for the stochastic Liénard equation by mean-field." Advances in Applied Probability 23, no. 02 (June 1991): 303–16. http://dx.doi.org/10.1017/s000186780002351x.
Pham, Huyên, and Xiaoli Wei. "Bellman equation and viscosity solutions for mean-field stochastic control problem." ESAIM: Control, Optimisation and Calculus of Variations 24, no. 1 (January 2018): 437–61. http://dx.doi.org/10.1051/cocv/2017019.
Bahlali, Khaled, Mohamed Amine Mezerdi, and Brahim Mezerdi. "Stability of McKean–Vlasov stochastic differential equations and applications." Stochastics and Dynamics 20, no. 01 (June 12, 2019): 2050007. http://dx.doi.org/10.1142/s0219493720500070.
Bao, Jianhai, Christoph Reisinger, Panpan Ren, and Wolfgang Stockinger. "First-order convergence of Milstein schemes for McKean–Vlasov equations and interacting particle systems." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2245 (January 2021): 20200258. http://dx.doi.org/10.1098/rspa.2020.0258.
Narita, Kiyomasa. "Asymptotic behavior of velocity process in the Smoluchowski–Kramers approximation for stochastic differential equations." Advances in Applied Probability 23, no. 2 (June 1991): 317–26. http://dx.doi.org/10.2307/1427751.
Narita, Kiyomasa. "Asymptotic behavior of velocity process in the Smoluchowski–Kramers approximation for stochastic differential equations." Advances in Applied Probability 23, no. 02 (June 1991): 317–26. http://dx.doi.org/10.1017/s0001867800023521.
Shen, Guangjun, Jie Xiang, and Jiang-Lun Wu. "Stochastic averaging principle for multi-valued McKean–Vlasov stochastic differential equations." Applied Mathematics Letters 141 (July 2023): 108629. http://dx.doi.org/10.1016/j.aml.2023.108629.
Wen, Jianghui, Xiangjun Wang, Shuhua Mao, and Xinping Xiao. "Maximum likelihood estimation of McKean–Vlasov stochastic differential equation and its application." Applied Mathematics and Computation 274 (February 2016): 237–46. http://dx.doi.org/10.1016/j.amc.2015.11.019.
Keck, David N., and Mark A. McKibben. "On a McKean‐Vlasov Stochastic Integro‐differential Evolution Equation of Sobolev‐Type." Stochastic Analysis and Applications 21, no. 5 (January 9, 2003): 1115–39. http://dx.doi.org/10.1081/sap-120024706.
Lv, Li, Yanjie Zhang, and Zibo Wang. "Information upper bound for McKean–Vlasov stochastic differential equations." Chaos: An Interdisciplinary Journal of Nonlinear Science 31, no. 5 (May 2021): 051103. http://dx.doi.org/10.1063/5.0049874.
Hutzenthaler, Martin, Thomas Kruse, and Tuan Anh Nguyen. "Multilevel Picard approximations for McKean-Vlasov stochastic differential equations." Journal of Mathematical Analysis and Applications 507, no. 1 (March 2022): 125761. http://dx.doi.org/10.1016/j.jmaa.2021.125761.
Ahmed, N. U., and Xinhong Ding. "On invariant measures of nonlinear Markov processes." Journal of Applied Mathematics and Stochastic Analysis 6, no. 4 (January 1, 1993): 385–406. http://dx.doi.org/10.1155/s1048953393000310.
Mehri, Sima, and Wilhelm Stannat. "Weak solutions to Vlasov–McKean equations under Lyapunov-type conditions." Stochastics and Dynamics 19, no. 06 (November 18, 2019): 1950042. http://dx.doi.org/10.1142/s0219493719500424.
Nie, Tianyang, and Ke Yan. "Extended mean-field control problem with partial observation." ESAIM: Control, Optimisation and Calculus of Variations 28 (2022): 17. http://dx.doi.org/10.1051/cocv/2022010.
Mezerdi, Mohamed Amine. "Compactification in optimal control of McKean‐Vlasov stochastic differential equations." Optimal Control Applications and Methods 42, no. 4 (March 24, 2021): 1161–77. http://dx.doi.org/10.1002/oca.2721.
Liu, Meiqi, and Huijie Qiao. "Parameter Estimation of Path-Dependent McKean-Vlasov Stochastic Differential Equations." Acta Mathematica Scientia 42, no. 3 (April 21, 2022): 876–86. http://dx.doi.org/10.1007/s10473-022-0304-8.
Belomestny, Denis, and John Schoenmakers. "Projected Particle Methods for Solving McKean--Vlasov Stochastic Differential Equations." SIAM Journal on Numerical Analysis 56, no. 6 (January 2018): 3169–95. http://dx.doi.org/10.1137/17m1111024.
Şen, Nevroz, and Peter E. Caines. "Nonlinear Filtering Theory for McKean--Vlasov Type Stochastic Differential Equations." SIAM Journal on Control and Optimization 54, no. 1 (January 2016): 153–74. http://dx.doi.org/10.1137/15m1013304.
Carmona, René, and François Delarue. "Forward–backward stochastic differential equations and controlled McKean–Vlasov dynamics." Annals of Probability 43, no. 5 (September 2015): 2647–700. http://dx.doi.org/10.1214/14-aop946.
Bencheikh, O., and B. Jourdain. "Bias behaviour and antithetic sampling in mean-field particle approximations of SDEs nonlinear in the sense of McKean." ESAIM: Proceedings and Surveys 65 (2019): 219–35. http://dx.doi.org/10.1051/proc/201965219.
Narita, Kiyomasa. "Asymptotic analysis for interactive oscillators of the van der Pol type." Advances in Applied Probability 19, no. 1 (March 1987): 44–80. http://dx.doi.org/10.2307/1427373.
Narita, Kiyomasa. "Asymptotic analysis for interactive oscillators of the van der Pol type." Advances in Applied Probability 19, no. 01 (March 1987): 44–80. http://dx.doi.org/10.1017/s0001867800016384.
Kotelenez, Peter M., and Thomas G. Kurtz. "Macroscopic limits for stochastic partial differential equations of McKean–Vlasov type." Probability Theory and Related Fields 146, no. 1-2 (December 12, 2008): 189–222. http://dx.doi.org/10.1007/s00440-008-0188-0.
Coppini, Fabio, Helge Dietert, and Giambattista Giacomin. "A law of large numbers and large deviations for interacting diffusions on Erdős–Rényi graphs." Stochastics and Dynamics 20, no. 02 (July 10, 2019): 2050010. http://dx.doi.org/10.1142/s0219493720500100.
Chen, Xingyuan, and Gonçalo dos Reis. "A flexible split‐step scheme for solving McKean‐Vlasov stochastic differential equations." Applied Mathematics and Computation 427 (August 2022): 127180. http://dx.doi.org/10.1016/j.amc.2022.127180.
Chaudru de Raynal, P. E. "Strong well posedness of McKean–Vlasov stochastic differential equations with Hölder drift." Stochastic Processes and their Applications 130, no. 1 (January 2020): 79–107. http://dx.doi.org/10.1016/j.spa.2019.01.006.
Wu, Fuke, Fubao Xi, and Chao Zhu. "On a class of McKean-Vlasov stochastic functional differential equations with applications." Journal of Differential Equations 371 (October 2023): 31–49. http://dx.doi.org/10.1016/j.jde.2023.06.022.
Wen, Xueqi, Zhi Li, and Liping Xu. "Strong approximation of non-autonomous time-changed McKean–Vlasov stochastic differential equations." Communications in Nonlinear Science and Numerical Simulation 119 (May 2023): 107122. http://dx.doi.org/10.1016/j.cnsns.2023.107122.
Mezerdi, Mohamed Amine, and Nabil Khelfallah. "Stability and prevalence of McKean–Vlasov stochastic differential equations with non-Lipschitz coefficients." Random Operators and Stochastic Equations 29, no. 1 (January 9, 2021): 67–78. http://dx.doi.org/10.1515/rose-2021-2053.
Agarwal, A., S. De Marco, E. Gobet, J. G. López-Salas, F. Noubiagain, and A. Zhou. "Numerical approximations of McKean anticipative backward stochastic differential equations arising in initial margin requirements." ESAIM: Proceedings and Surveys 65 (2019): 1–26. http://dx.doi.org/10.1051/proc/201965001.
Zhu, Min, and Yanyan Hu. "Least squares estimation for delay McKean–Vlasov stochastic differential equations and interacting particle systems." Communications in Mathematical Sciences 20, no. 1 (2022): 265–96. http://dx.doi.org/10.4310/cms.2022.v20.n1.a8.
Chaudru de Raynal, P. E., and C. A. Garcia Trillos. "A cubature based algorithm to solve decoupled McKean–Vlasov forward–backward stochastic differential equations." Stochastic Processes and their Applications 125, no. 6 (June 2015): 2206–55. http://dx.doi.org/10.1016/j.spa.2014.11.018.
Han, Jiequn, Ruimeng Hu, and Jihao Long. "Learning High-Dimensional McKean–Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence." SIAM Journal on Numerical Analysis 62, no. 1 (January 4, 2024): 1–24. http://dx.doi.org/10.1137/22m151861x.
Wu, Dongxuan, Yaru Zhang, Liping Xu, and Zhi Li. "Strong convergence of Euler–Maruyama schemes for doubly perturbed McKean–Vlasov stochastic differential equations." Communications in Nonlinear Science and Numerical Simulation 132 (May 2024): 107927. http://dx.doi.org/10.1016/j.cnsns.2024.107927.
Kotelenez, Peter. "A class of quasilinear stochastic partial differential equations of McKean-Vlasov type with mass conservation." Probability Theory and Related Fields 102, no. 2 (June 1995): 159–88. http://dx.doi.org/10.1007/bf01213387.
Le Cavil, Anthony, Nadia Oudjane, and Francesco Russo. "Particle system algorithm and chaos propagation related to non-conservative McKean type stochastic differential equations." Stochastics and Partial Differential Equations: Analysis and Computations 5, no. 1 (August 29, 2016): 1–37. http://dx.doi.org/10.1007/s40072-016-0079-9.
GÓMEZ-SERRANO, JAVIER, CARL GRAHAM, and JEAN-YVES LE BOUDEC. "THE BOUNDED CONFIDENCE MODEL OF OPINION DYNAMICS." Mathematical Models and Methods in Applied Sciences 22, no. 02 (February 2012): 1150007. http://dx.doi.org/10.1142/s0218202511500072.
Angiuli, Andrea, Christy V. Graves, Houzhi Li, Jean-François Chassagneux, François Delarue, and René Carmona. "Cemracs 2017: numerical probabilistic approach to MFG." ESAIM: Proceedings and Surveys 65 (2019): 84–113. http://dx.doi.org/10.1051/proc/201965084.
CHI, Hongmei. "Multivalued stochastic McKean-Vlasov equation." Acta Mathematica Scientia 34, no. 6 (November 2014): 1731–40. http://dx.doi.org/10.1016/s0252-9602(14)60118-1.
Hochgerner, Simon. "A Hamiltonian mean field system for the Navier–Stokes equation." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2218 (October 2018): 20180178. http://dx.doi.org/10.1098/rspa.2018.0178.
Kohlmann, M. "Stochastic differential equation." Metrika 33, no. 1 (December 1986): 246. http://dx.doi.org/10.1007/bf01894752.
Hochgerner, Simon. "A Hamiltonian Interacting Particle System for Compressible Flow." Water 12, no. 8 (July 25, 2020): 2109. http://dx.doi.org/10.3390/w12082109.
Ahmed, N. U., and X. Ding. "A semilinear Mckean-Vlasov stochastic evolution equation in Hilbert space." Stochastic Processes and their Applications 60, no. 1 (November 1995): 65–85. http://dx.doi.org/10.1016/0304-4149(95)00050-x.
Cosso, Andrea, and Huyên Pham. "Zero-sum stochastic differential games of generalized McKean–Vlasov type." Journal de Mathématiques Pures et Appliquées 129 (September 2019): 180–212. http://dx.doi.org/10.1016/j.matpur.2018.12.005.
Park, J. Y., P. Balasubramaniam, and Y. H. Kang. "Controllability of McKean–Vlasov Stochastic Integrodifferential Evolution Equation in Hilbert Spaces." Numerical Functional Analysis and Optimization 29, no. 11-12 (December 4, 2008): 1328–46. http://dx.doi.org/10.1080/01630560802580679.
Keck, David N., and Mark A. McKibben. "Abstract semilinear stochastic Itó-Volterra integrodifferential equations." Journal of Applied Mathematics and Stochastic Analysis 2006 (July 4, 2006): 1–22. http://dx.doi.org/10.1155/jamsa/2006/45253.