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Ruanui Nicholson
Ruanui Nicholson
Verified email at auckland.ac.nz
Title
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Cited by
Year
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
OJ Maclaren, R Nicholson
arXiv preprint arXiv:1904.02826, 2019
362019
Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field
R Nicholson, N Petra, JP Kaipio
Inverse Problems 34 (11), 115005, 2018
232018
Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty
O Babaniyi, R Nicholson, U Villa, N Petra
The Cryosphere 15 (4), 1731-1750, 2021
222021
New graphs with thinly spread positive combinatorial curvature
R Nicholson, J Sneddon
New Zealand J. Math 41, 39-43, 2011
202011
Case studies of predictive uncertainty quantification for geothermal models
J Omagbon, J Doherty, A Yeh, R Colina, J O'Sullivan, J McDowell, ...
Geothermics 97, 102263, 2021
152021
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems. arXiv
OJ Maclaren, R Nicholson
131904
Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models
MJ Simpson, RE Baker, PR Buenzli, R Nicholson, OJ Maclaren
Journal of Theoretical Biology 549, 111201, 2022
122022
Incorporating posterior‐informed approximation errors into a hierarchical framework to facilitate out‐of‐the‐box MCMC sampling for geothermal inverse problems and uncertainty …
OJ Maclaren, R Nicholson, EK Bjarkason, JP O'Sullivan, MJ O'Sullivan
Water Resources Research 56 (1), e2018WR024240, 2020
122020
Bayesian calibration of a natural state geothermal reservoir model, Krafla, North Iceland
SW Scott, JP O’Sullivan, OJ Maclaren, R Nicholson, C Covell, J Newson, ...
Water Resources Research 58 (2), e2021WR031254, 2022
92022
An additive approximation to multiplicative noise
R Nicholson, JP Kaipio
Journal of Mathematical Imaging and Vision 62 (9), 1227-1237, 2020
92020
Resource assessment: estimating the potential of a geothermal reservoir
K Dekkers, M Gravatt, OJ Maclaren, R Nicholson, R Nugraha, ...
Proceedings, 47th Workshop on Geothermal Reservoir Engineering, 2022
82022
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
A Alexanderian, R Nicholson, N Petra
arXiv preprint arXiv:2211.03952, 2022
62022
Geologically Consistent Prior Parameter Distributions for Uncertainty Quantification of Geothermal Reservoirs
A de Beer, MJ Gravatt, T Renaud, R Nicholson, OJ Maclaren, K Dekkers, ...
Proceedings, 48th Workshop on Geothermal Reservoir Engineering, 2023
52023
Models, identifiability, and estimability in causal inference
OJ Maclaren, R Nicholson
Workshop on the Neglected Assumptions in Causal Inference (NACI) at the 38 …, 2021
52021
Uncertainty Quantification of Highly-Parameterized Geothermal Reservoir Models Using Ensemble-Based Methods
EK Bjarkason, OJ Maclaren, R Nicholson, A Yeh, MJ O’sullivan
Proceedings World Geothermal Congress, 1, 2020
42020
Accelerating the solution of geothermal inverse problems using adjoint methods in Waiwera: A progress report
B Gonzalez-Gutierrez, S Sung, R Nicholson, JP O’Sullivan, MJ O’Sullivan, ...
Proc. 40th New Zealand Geothermal Workshop, 2018
42018
On global normal linear approximations for nonlinear Bayesian inverse problems
R Nicholson, N Petra, U Villa, JP Kaipio
Inverse Problems 39 (5), 054001, 2023
32023
Improved Electrical Impedance Tomography Reconstruction via a Bayesian Approach with an Anatomical Statistical Shape Model
MI Page, R Nicholson, MH Tawhai, AR Clark, H Kumar
IEEE Transactions on Biomedical Engineering, 2023
22023
Resource assessment: estimating the potential of an african rift geothermal reservoir
K Dekkers, M Gravatt, T Renaud, A de Beer, A Power, O Maclaren, ...
Proc. 9th African Rift Geothermal Conference, 2022, 2022
22022
REPRESENTATION OF UNKNOWN PARAMETERS IN GEOTHERMAL MODEL CALIBRATION
R Nicholson, O MacLaren, J O'Sullivan, M O'Sullivan, A Suzuki, ...
New Zealand Geothermal Workshop, 2020
22020
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