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Alexandros Beskos
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2020 – today
- 2024
- [i5]Yuga Iguchi, Ajay Jasra, Mohamed Maama, Alexandros Beskos:
Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications. CoRR abs/2403.13489 (2024) - 2023
- [j18]Hamza M. Ruzayqat, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas:
Unbiased estimation using a class of diffusion processes. J. Comput. Phys. 472: 111643 (2023) - 2022
- [j17]Alexandros Beskos, Kengo Kamatani:
MCMC Algorithms for Posteriors on Matrix Spaces. J. Comput. Graph. Stat. 31(3): 721-738 (2022) - [j16]Willem van den Boom, Alexandros Beskos, Maria De Iorio:
The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models. J. Comput. Graph. Stat. 31(4): 1215-1224 (2022) - [j15]Shouto Yonekura, Alexandros Beskos:
Online Smoothing for Diffusion Processes Observed with Noise. J. Comput. Graph. Stat. 31(4): 1344-1360 (2022) - [j14]Hamza M. Ruzayqat, Aimad Er-Raiy, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas:
A Lagged Particle Filter for Stable Filtering of Certain High-Dimensional State-Space Models. SIAM/ASA J. Uncertain. Quantification 10(1): 1130-1161 (2022) - [j13]Willem van den Boom, Ajay Jasra, Maria De Iorio, Alexandros Beskos, Johan Gunnar Eriksson:
Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo. Stat. Comput. 32(3): 36 (2022) - [j12]Daniel Paulin, Ajay Jasra, Alexandros Beskos, Dan Crisan:
A 4D-Var method with flow-dependent background covariances for the shallow-water equations. Stat. Comput. 32(4): 65 (2022) - [i4]Hamza M. Ruzayqat, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas:
Unbiased Estimation using a Class of Diffusion Processes. CoRR abs/2203.03013 (2022) - [i3]Yuga Iguchi, Alexandros Beskos, Matthew M. Graham:
Numerical Schemes for Effective Calibration of Elliptic and Hypo-elliptic Diffusions. CoRR abs/2211.16384 (2022) - 2021
- [j11]Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas, Hamza M. Ruzayqat:
Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. SIAM J. Sci. Comput. 43(4): A2555-A2580 (2021) - [i2]Hamza M. Ruzayqat, Aimad Er-Raiy, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas:
A Lagged Particle Filter for Stable Filtering of certain High-Dimensional State-Space Models. CoRR abs/2110.00884 (2021) - 2020
- [j10]Lifeng Ye, Alexandros Beskos, Maria De Iorio, Jie Hao:
Monte Carlo co-ordinate ascent variational inference. Stat. Comput. 30(4): 887-905 (2020) - [i1]Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas, Hamza M. Ruzayqat:
Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models. CoRR abs/2008.07803 (2020)
2010 – 2019
- 2019
- [j9]Daniel Paulin, Ajay Jasra, Dan Crisan, Alexandros Beskos:
Optimization Based Methods for Partially Observed Chaotic Systems. Found. Comput. Math. 19(3): 485-559 (2019) - 2018
- [j8]Alexandros Beskos, Ajay Jasra, Kody J. H. Law, Youssef M. Marzouk, Yan Zhou:
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals. SIAM/ASA J. Uncertain. Quantification 6(2): 762-786 (2018) - [j7]Francesc Pons Llopis, Nikolas Kantas, Alexandros Beskos, Ajay Jasra:
Particle Filtering for Stochastic Navier-Stokes Signal Observed with Linear Additive Noise. SIAM J. Sci. Comput. 40(3) (2018) - 2017
- [j6]Alexandros Beskos, Mark A. Girolami, Shiwei Lan, Patrick E. Farrell, Andrew M. Stuart:
Geometric MCMC for infinite-dimensional inverse problems. J. Comput. Phys. 335: 327-351 (2017) - 2016
- [j5]Xiaojia Guo, Alexandros Beskos, Afzal S. Siddiqui:
The natural hedge of a gas-fired power plant. Comput. Manag. Sci. 13(1): 63-86 (2016) - 2015
- [j4]Adam Persing, Ajay Jasra, Alexandros Beskos, David J. Balding, Maria De Iorio:
A Simulation Approach for Change-Points on Phylogenetic Trees. J. Comput. Biol. 22(1): 10-24 (2015) - [j3]Ajay Jasra, Adam Persing, Alexandros Beskos, Kari Heine, Maria De Iorio:
Bayesian Inference for Duplication-Mutation with Complementarity Network Models. J. Comput. Biol. 22(11): 1025-1033 (2015) - [j2]Alexandros Beskos, Ajay Jasra, Ege A. Muzaffer, Andrew M. Stuart:
Sequential Monte Carlo methods for Bayesian elliptic inverse problems. Stat. Comput. 25(4): 727-737 (2015) - 2014
- [j1]Nikolas Kantas, Alexandros Beskos, Ajay Jasra:
Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier-Stokes Equations. SIAM/ASA J. Uncertain. Quantification 2(1): 464-489 (2014)
2000 – 2009
- 2006
- [b1]Alexandros Beskos:
Exact simulation of diffusions and new inference methods for discrete time data : also included, the one-shot CFTP algorithms. Lancaster University, UK, 2006
Coauthor Index
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