Dan Crisan

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Darryl D HolmProfessor of Mathematics, Imperial College LondonVerified email at ic.ac.uk
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Joaquin MiguezDepartment of Signal Theory & Communications, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Alexandros BeskosProfessor in Statistics, UCLVerified email at ucl.ac.uk
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Jean-François ChassagneuxProfessor of Applied Mathematics, Université Paris Cité, LPSMVerified email at lpsm.paris
Igor ShevchenkoImperial College London, Department of MathematicsVerified email at imperial.ac.uk
Wei PanProfessor of Sustainable Construction, Engineering and Management, The University of Hong KongVerified email at hku.hk
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerified email at inria.fr
François DelarueUniversité Côte d'AzurVerified email at unice.fr
Colin CotterProfessor of Computational Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Oana LangResearch Associate, Imperial College LondonVerified email at imperial.ac.uk
Jie XiongSouthern University of Science and TechnologyVerified email at sustech.edu.cn
Michela OttobreHeriot WattVerified email at hw.ac.uk
Salvador Ortiz-LatorreAssociate Professor, University of OsloVerified email at math.uio.no
Nikolas KantasDept. of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Peter K. FrizProfessor of Mathematics, TU and WIAS BerlinVerified email at math.tu-berlin.de
Thomas G. KurtzProfessor Emeritus, Mathematics and Statistics, University of Wisconsin-MadisoVerified email at math.wisc.edu
TOUZI NizarEcole PolytechniqueVerified email at polytechnique.edu
Daniel PaulinLecturer of Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk

Dan Crisan

Professor of Mathematics, Imperial College London

Verified email at imperial.ac.uk - Homepage

Stochastic Analysis Data Assimilation SPDEs Particle Approximations Data Assimilation


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Sequential Markov chain Monte Carlo for Lagrangian data assimilation with applications to unknown data locations H Ruzayqat, A Beskos, D Crisan, A Jasra, N Kantas Quarterly Journal of the Royal Meteorological Society, 2024		2024
Sequential Discretization Schemes for a Class of Stochastic Differential Equations and their Application to Bayesian Filtering ÖD Akyildiz, D Crisan, J Miguez SIAM Journal on Numerical Analysis 62 (2), 946-973, 2024	1	2024
Approximation of non-linear SPDEs with additive noise via weighted interacting particles systems: the stochastic McKean-Vlasov equation L Angeli, D Crisan, M Kolodziejczyk, M Ottobre arXiv preprint arXiv:2404.07488, 2024		2024
Generative Modelling of Stochastic Rotating Shallow Water Noise D Crisan, O Lang, A Lobbe arXiv preprint arXiv:2403.10578, 2024		2024
Global solutions for stochastically controlled fluid dynamics models D Crisan, O Lang arXiv preprint arXiv:2403.05923, 2024		2024
On energy-aware hybrid models I Shevchenko, D Crisan arXiv preprint arXiv:2402.13328, 2024		2024
Data assimilation for the stochastic Camassa-Holm equation using particle filtering: a numerical investigation CJ Cotter, D Crisan, MK Singh arXiv preprint arXiv:2402.06927, 2024		2024
Stochastic Transport in Upper Ocean Dynamics II B Chapron, D Crisan, D Holm, E Mémin, A Radomska Springer Nature Switzerland, 2024		2024
Probabilistic representation of the gradient of a killed diffusion semigroup: The half-space case D Crisan, A Kohatsu-Higa arXiv preprint arXiv:2312.07096, 2023		2023
A probabilistic representation of the derivative of a one dimensional killed diffusion semigroup and associated Bismut-Elworthy-Li formula D Crisan, A Kohatsu-Higa arXiv preprint arXiv:2312.07084, 2023	1	2023
Noise calibration for SPDEs: A case study for the rotating shallow water model D Crisan, O Lang, A Lobbe, PJ van Leeuwen, R Potthast Foundations of Data Science, 0-0, 2023	2	2023
On the 3D Navier-Stokes Equations with Stochastic Lie Transport Check for updates D Goodair, D Crisan Stochastic Transport in Upper Ocean Dynamics II: STUOD 2022 Workshop, London …, 2023		2023
Theoretical and computational analysis of the thermal quasi-geostrophic model D Crisan, DD Holm, E Luesink, PR Mensah, W Pan Journal of nonlinear science 33 (5), 96, 2023	15	2023
Observation-Based Noise Calibration: An Efficient Dynamics for the Ensemble Kalman Filter B Dufée, E Mémin, D Crisan Stochastic Transport in Upper Ocean Dynamics 10, 43-56, 2023	4	2023
Theoretical analysis and numerical approximation for the stochastic thermal quasi-geostrophic model D Crisan, DD Holm, O Lang, PR Mensah, W Pan Stochastics and Dynamics 23 (05), 2350039, 2023	1	2023
An implementation of Hasselmann’s paradigm for stochastic climate modelling based on stochastic Lie transport D Crisan, DD Holm, P Korn Nonlinearity 36 (9), 4862, 2023	2	2023
Existence and uniqueness of maximal solutions to SPDEs with applications to viscous fluid equations D Goodair, D Crisan, O Lang Stochastics and Partial Differential Equations: Analysis and Computations, 1-64, 2023	7	2023
Well-posedness for a stochastic 2D Euler equation with transport noise O Lang, D Crisan Stochastics and Partial Differential Equations: Analysis and Computations 11 …, 2023	29	2023
The zero viscosity limit of stochastic navier-stokes flows D Goodair, D Crisan arXiv preprint arXiv:2305.18836, 2023	4	2023
Noise calibration for the stochastic rotating shallow water model D Crisan, O Lang, A Lobbe, PJ van Leeuwen, R Potthast arXiv preprint arXiv:2305.03548, 2023	1	2023

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