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Andrew Davis
Andrew Davis
Courant Institute of Mathematical Sciences
Verified email at alum.mit.edu
Title
Cited by
Cited by
Year
Parallel local approximation MCMC for expensive models
PR Conrad, AD Davis, YM Marzouk, NS Pillai, A Smith
SIAM/ASA Journal on Uncertainty Quantification 6 (1), 339-373, 2018
362018
Boundary layer models for calving marine outlet glaciers
C Schoof, AD Davis, TV Popa
The Cryosphere 11 (5), 2283-2303, 2017
302017
MIT uncertainty quantification (MUQ) library
M Parno, A Davis, P Conrad, YM Marzouk
92014
Effects of model resolution on optimal design of subsurface flow and transport problems
MW Farthing, KR Fowler, X Fu, A Davis, CT Miller
Advances in water resources 38, 27-37, 2012
62012
Rate-optimal refinement strategies for local approximation MCMC
AD Davis, Y Marzouk, A Smith, N Pillai
Statistics and Computing 32 (4), 1-23, 2022
52022
MUQ: The MIT uncertainty quantification library
M Parno, A Davis, L Seelinger
Journal of Open Source Software 6 (68), 3076, 2021
52021
Prediction under uncertainty: from models for marine-terminating glaciers to Bayesian computation
AD Davis
Massachusetts Institute of Technology, 2018
52018
ParticLS: Object-oriented software for discrete element methods and peridynamics
AD Davis, BA West, NJ Frisch, DT O’Connor, MD Parno
Computational Particle Mechanics 9 (1), 1-13, 2022
32022
Efficient Bayesian inference for large chaotic dynamical systems
S Springer, H Haario, J Susiluoto, A Bibov, A Davis, Y Marzouk
Geoscientific Model Development 14 (7), 4319-4333, 2021
32021
Super-parameterization of Lagrangian sea ice dynamics using the Boltzmann equation
AD Davis, D Giannakis, G Stadler, SN Stechmann, G Manucharyan
AGU Fall Meeting Abstracts 2020, C048-03, 2020
12020
Generalization of hydrodynamic sea ice dynamics using kinetic theory and the Boltzmann equation
A Davis, D Giannakis, G Stadler, S Stechmann
AGU Fall Meeting Abstracts 2021, NG15A-0422, 2021
2021
Graph-theoretic algorithms for Kolmogorov operators: Approximating solutions and their gradients in elliptic and parabolic problems on manifolds
AD Davis, D Giannakis
arXiv preprint arXiv:2104.15124, 2021
2021
Efficient Bayesian inference for large chaotic dynamical systems
S Springer, H Haario, J Susiluoto, A Bibov, A Davis, Y Marzouk
Geoscientific Model Development Discussions 2020, 1-32, 2020
2020
Modeling Deformable Porous Media with Peridynamics
BA West, A Davis, D O'Connor
AGU Fall Meeting Abstracts 2019, H43E-08, 2019
2019
Particle Level Sets (ParticLS): object-oriented software for discrete element methods (DEM) and peridynamics modeling sea ice ridging
AD Davis, BA West, D O'Connor, M Parno
AGU Fall Meeting Abstracts 2019, T51C-13, 2019
2019
Meshfree Approaches to Modeling Sea Ice Dynamics
D O'Connor, BA West, A Davis, M Parno, T Hodgdon
AGU Fall Meeting Abstracts 2019, C32B-07, 2019
2019
Efficient Optimal Bayesian Experimental Design of Snow Depth Sensors for Inferring Sea Ice Thickness
A Davis, X Huan, CM Polashenski, Y Marzouk
AGU Fall Meeting Abstracts 2019, NG21B-0914, 2019
2019
Selecting Multiple Borehole Locations for Maximizing Bayesian Information Gain on Past Ice Sheet Surface Temperatures
AD Davis, X Huan, P Heimbach, Y Marzouk
AGU Fall Meeting Abstracts 2018, NG23A-04, 2018
2018
Simulation-based Bayesian Optimal Design for Ice Sheet Borehole Experiments.
X Huan, AD Davis, P Heimbach, YM Marzouk
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018
2018
Optimal Bayesian Design of Borehole Locations for Inferring Past Ice Sheet Surface Temperatures.
X Huan, AD Davis, P Heimbach, YM Marzouk
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018
2018
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