Efficient Sampling Methods of, by, and for Stochastic Dynamical Systems
This thesis presents new methodologies that lie at the intersection of computational statistics and computational dynamics. Stochastic differential equations (SDEs) are used to model a variety of physical systems, and computing expectations over marginal distributions of SDEs is important for the an...
Main Author: | Zhang, Benjamin Jiahong |
---|---|
Other Authors: | Marzouk, Youssef M. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/143353 https://orcid.org/ 0000-0002-4170-5096 |
Similar Items
-
A coupling approach to rare event simulation via dynamic importance sampling
by: Zhang, Benjamin Jiahong
Published: (2017) -
Linearization methods for stochastic dynamic systems /
by: 358155 Socha, Leslaw
Published: (2008) -
Efficiency of the stochastic approximation method
by: Japundžić Miloš
Published: (2012-01-01) -
Rapid sampling of stochastic displacements in Brownian dynamics simulations
by: Balboa Usabiaga, Florencio, et al.
Published: (2018) -
Stochastic methods in the dynamics of satellites
by: 401324 Sagirow, Peter
Published: (1970)