Articles with public access mandates - Kody J. H. LawLearn more
Not available anywhere: 1
Classical shadows and Bayesian mean estimation: a comparison
JM Lukens, KJH Law, RS Bennink
2021 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2021
Mandates: US Department of Energy
Available somewhere: 48
Characteristics of two-dimensional quantum turbulence in a compressible superfluid
TW Neely, AS Bradley, EC Samson, SJ Rooney, EM Wright, KJH Law, ...
Physical review letters 111 (23), 235301, 2013
Mandates: Australian Research Council
Dimension-independent likelihood-informed MCMC
T Cui, KJH Law, YM Marzouk
Journal of Computational Physics 304, 109-137, 2016
Mandates: US Department of Energy
Well-posedness and accuracy of the ensemble Kalman filter in discrete and continuous time
DTB Kelly, KJH Law, AM Stuart
Nonlinearity 27 (10), 2579, 2014
Mandates: UK Engineering and Physical Sciences Research Council
Multilevel sequential monte carlo samplers
A Beskos, A Jasra, K Law, R Tempone, Y Zhou
Stochastic Processes and their Applications 127 (5), 1417-1440, 2017
Mandates: US Department of Energy
A practical and efficient approach for Bayesian quantum state estimation
JM Lukens, KJH Law, A Jasra, P Lougovski
New Journal of Physics 22 (6), 063038, 2020
Mandates: US Department of Energy
Multilevel ensemble Kalman filtering
H Hoel, KJH Law, R Tempone
SIAM Journal of Numerical Analysis 54 (3), 1813–1839, 2015
Mandates: US Department of Energy
Multilevel particle filters
A Jasra, K Kamatani, KJH Law, Y Zhou
SIAM Journal on Numerical Analysis 55 (6), 3068-3096, 2017
Mandates: US Department of Energy
Certified dimension reduction in nonlinear Bayesian inverse problems
O Zahm, T Cui, K Law, A Spantini, Y Marzouk
Mathematics of Computation 91 (336), 1789-1835, 2022
Mandates: US Department of Energy, US Department of Defense, Australian Research …
Evaluation of Gaussian approximations for data assimilation in reservoir models
MA Iglesias, KJH Law, AM Stuart
Computational Geosciences 17, 851-885, 2013
Mandates: UK Engineering and Physical Sciences Research Council
Deterministic mean-field ensemble Kalman filtering
KJH Law, H Tembine, R Tempone
SIAM Journal on Scientific Computing 38 (3), A1251-A1279, 2016
Mandates: US Department of Energy
Proposals which speed up function-space MCMC
KJH Law
Journal of Computational and Applied Mathematics 262, 127-138, 2014
Mandates: UK Engineering and Physical Sciences Research Council
Multilevel ensemble Kalman filtering for spatio-temporal processes
A Chernov, H Hoel, KJH Law, F Nobile, R Tempone
Numerische Mathematik 147, 71-125, 2021
Mandates: UK Engineering and Physical Sciences Research Council, Research Council of …
Multilevel sequential Monte Carlo with dimension-independent likelihood-informed proposals
A Beskos, A Jasra, K Law, Y Marzouk, Y Zhou
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 762-786, 2018
Mandates: US Department of Energy
Multilevel sequential Monte Carlo samplers for normalizing constants
PD Moral, A Jasra, KJH Law, Y Zhou
ACM Transactions on Modeling and Computer Simulation (TOMACS) 27 (3), 1-22, 2017
Mandates: US Department of Energy, US Department of Defense
Filter accuracy for the Lorenz 96 model: Fixed versus adaptive observation operators
KJH Law, D Sanz-Alonso, A Shukla, AM Stuart
Physica D: Nonlinear Phenomena 325, 1-13, 2016
Mandates: US Department of Energy, UK Engineering and Physical Sciences Research Council
Unbiased inference for discretely observed hidden Markov model diffusions
NK Chada, J Franks, A Jasra, KJ Law, M Vihola
SIAM/ASA Journal on Uncertainty Quantification 9 (2), 763-787, 2021
Mandates: Academy of Finland
A Bayesian analysis of classical shadows
JM Lukens, KJH Law, RS Bennink
npj Quantum Information 7 (1), 113, 2021
Mandates: US Department of Energy
Bayesian static parameter estimation for partially observed diffusions via multilevel Monte Carlo
A Jasra, K Kamatani, K Law, Y Zhou
SIAM Journal on Scientific Computing 40 (2), A887-A902, 2018
Mandates: US Department of Energy
Accuracy of some approximate Gaussian filters for the Navier--Stokes equation in the presence of model error
M Branicki, AJ Majda, KJH Law
Multiscale Modeling & Simulation 16 (4), 1756-1794, 2018
Mandates: US Department of Energy, US Department of Defense
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