E-LIB Suche - Ergebnisse für: Parno, Matthew

1

High-resolution repeat topography of drifting ice floes in ..:

Clemens-Sewall, David ; Polashenski, Chris ; Raphael, Ian A....
Scientific Data. 11 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

2

Efficient and Exact Multimarginal Optimal Transport with Pa..:

Zhou, Bohan ; Parno, Matthew
Journal of Scientific Computing. 100 (2024) 1 - p. , 2024

Link: https://doi.org/10.1007/..

3

UM-Bridge: Uncertainty quantification and modelingbridge:

Seelinger, Linus ; Cheng-Seelinger, Vivian ; Davis, Andrew..
Journal of Open Source Software. 8 (2023) 83 - p. 4748 , 2023

Link: https://doi.org/10.21105..

4

hIPPYlib-MUQ: A Bayesian Inference Software Framework for I..:

Kim, Ki-Tae ; Villa, Umberto ; Parno, Matthew...
ACM Transactions on Mathematical Software. 49 (2023) 2 - p. 1-31 , 2023

Link: https://doi.org/10.1145/..

5

FlakeOut: A geometric approach to remove wind-blown snow fr..:

Clemens-Sewall, David ; Parno, Matthew ; Perovich, Don..
Cold Regions Science and Technology. 201 (2022) - p. 103611 , 2022

Link: https://doi.org/10.1016/..

6

Bayesian calibration of multi-level model with unobservable..:

Jiang, Chen ; Vega, Manuel A. ; Ramancha, Mukesh K....
Mechanical Systems and Signal Processing. 170 (2022) - p. 108852 , 2022

Link: https://doi.org/10.1016/..

7

MParT: Monotone Parameterization Toolkit:

Parno, Matthew ; Rubio, Paul-Baptiste ; Sharp, Daniel...
Journal of Open Source Software. 7 (2022) 80 - p. 4843 , 2022

Link: https://doi.org/10.21105..

8

Observations of Stress‐Strain in Drifting Sea Ice at Floe S..:

Parno, Julie ; Polashenski, Chris ; Parno, Matthew...
Journal of Geophysical Research: Oceans. 127 (2022) 5 - p. , 2022

Link: https://doi.org/10.1029/..

9

Bonded Discrete Element Simulations of Sea Ice With Non‐Loc..:

West, Brendan ; O'Connor, Devin ; Parno, Matthew..
Journal of Advances in Modeling Earth Systems. 14 (2022) 6 - p. , 2022

Link: https://doi.org/10.1029/..

10

Accounting for model form uncertainty in Bayesian calibrati..:

Ramancha, Mukesh K. ; Conte, Joel P. ; Parno, Matthew D.
Mechanical Systems and Signal Processing. 171 (2022) - p. 108871 , 2022

Link: https://doi.org/10.1016/..

11

MUQ: The MIT Uncertainty Quantification Library:

Parno, Matthew ; Davis, Andrew ; Seelinger, Linus
Journal of Open Source Software. 6 (2021) 68 - p. 3076 , 2021

Link: https://doi.org/10.21105..

12

A probabilistic optimal sensor design approach for structur..:

Yang, Yichao ; Chadha, Mayank ; Hu, Zhen...
Mechanical Systems and Signal Processing. 161 (2021) - p. 107920 , 2021

Link: https://doi.org/10.1016/..

13

Characterizing Prediction Uncertainty in Agricultural Model..:

Chrispell, John C. ; Jenkins, Eleanor W. ; Kavanagh, Kathleen R..
Modelling. 2 (2021) 4 - p. 753-775 , 2021

Link: https://doi.org/10.3390/..

14

COVID-19 infection data encode a dynamic reproduction numbe..:

Rowland, Michael A. ; Swannack, Todd M. ; Mayo, Michael L....
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

15

ParticLS: Object-oriented software for discrete element met..:

Davis, Andrew D. ; West, Brendan A. ; Frisch, Nathanael J...
Computational Particle Mechanics. 9 (2021) 1 - p. 1-13 , 2021

Link: https://doi.org/10.1007/..