Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Wanyang Dai"'
Autor:
Wanyang Dai
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 18688-18711 (2024)
We have studied a strongly nonlinear backward stochastic partial differential equation (B-SPDE) through an approximation method and with machine learning (ML)-based Monte Carlo simulation. This equation is well-known and was previously derived from s
Externí odkaz:
https://doaj.org/article/2e3311f479da4e6d9a6976d1e5209298
Autor:
Wanyang Dai
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2891 (2024)
We establish a relationship between stochastic differential games (SDGs) and a unified forward–backward coupled stochastic partial differential equation (SPDE) with discontinuous Lévy Jumps. The SDGs have q players and are driven by a general-dime
Externí odkaz:
https://doaj.org/article/88009a0fda43471980997317b74cedda
Autor:
Xuebin Lü, Wanyang Dai
Publikováno v:
Advances in Difference Equations, Vol 2018, Iss 1, Pp 1-16 (2018)
Abstract In this paper, based on the white noise theory for d-parameter Lévy random fields given by (Holden et al. in Stochastic Partial Differential Equations: A modeling, white noise functional approach, 2010), we develop a white noise frame for a
Externí odkaz:
https://doaj.org/article/97da0ed6fb444063b108eadca0e7c0c7
Autor:
Wanyang Dai
Publikováno v:
Computers & Mathematics with Applications. 119:21-58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8517bbf825efa5ff67cecfd6b832deae
https://doi.org/10.1016/j.camwa.2022.05.019
https://doi.org/10.1016/j.camwa.2022.05.019
Autor:
Wanyang Dai
Publikováno v:
Operational Research. 22:5817-5844
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f178899ddf879a8df573ab744b1d3aa
https://doi.org/10.1007/s12351-022-00723-z
https://doi.org/10.1007/s12351-022-00723-z
Reflecting time-Space Gaussian random field on compact Riemannian manifold and excursion probability
Autor:
Qianqian Jiang, Wanyang Dai
Publikováno v:
Stochastics. 94:865-890
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe9ce37d012a3ff6ce9c9ce630aeb01e
https://doi.org/10.1080/17442508.2021.2013486
https://doi.org/10.1080/17442508.2021.2013486
Autor:
Wanyang Dai, Yujiao Lu
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-33
We develop a global Stein estimator through Malliavin derivatives to estimate the multi-variable intensity functions of general d-dimensional spatial inhomogeneous Poisson point processes (IPPPs). ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::817af4a9d0981859990583d7bbda5cbb
https://doi.org/10.1080/03610918.2021.1970184
https://doi.org/10.1080/03610918.2021.1970184
Autor:
Qianqian Jiang, Wanyang Dai
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 118:107002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b464f7c39814c3b588ba788cf433ea9b
https://doi.org/10.1016/j.cnsns.2022.107002
https://doi.org/10.1016/j.cnsns.2022.107002
Autor:
Wanyang Dai
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 25:523-559
We model the hardware and software architecture for generalized Internet of Things (IoT) by quantum cloud-computing and blockchain. To reduce the measurement error and increase the efficiency of qu...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0edb677de5d04851a42d7a40b4afb308
https://doi.org/10.1080/13873954.2019.1677725
https://doi.org/10.1080/13873954.2019.1677725
Autor:
Wanyang Dai
Publikováno v:
Journal of Physics: Conference Series. 2313:011001
Since its inception in 2018, ICPMS (International Conference on Physics, Mathematics and Statistics) were successfully held for the last five years, Shanghai (2018), Hangzhou (2019), and online (2020, 2021, 2022), attracted delegates from more than 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25768f4fc91b4c330526fee2aedb4927
https://doi.org/10.1088/1742-6596/2313/1/011001
https://doi.org/10.1088/1742-6596/2313/1/011001