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Mass evolution of the Antarctic Peninsula over the last 2 decades from a joint Bayesian inversion.
- Published in:
- Cryosphere, 2022, v. 16, n. 4, p. 1349, doi. 10.5194/tc-16-1349-2022
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- Article
Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion.
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- Atmospheric Chemistry & Physics Discussions, 2022, p. 1, doi. 10.5194/egusphere-2022-513
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- Article
Environmental data science: Part 2.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2788
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Emulation of greenhouse‐gas sensitivities using variational autoencoders.
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- Environmetrics, 2023, v. 34, n. 2, p. 1, doi. 10.1002/env.2754
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Environmental data science: Part 1.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2787
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Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
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- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2649
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Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise.
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- Environmetrics, 2015, v. 26, n. 3, p. 159, doi. 10.1002/env.2323
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Resolving the Antarctic contribution to sea-level rise: a hierarchical modelling framework.
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- Environmetrics, 2014, v. 25, n. 4, p. 245, doi. 10.1002/env.2247
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Marginal maximum likelihood estimation of conditional autoregressive models with missing data.
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- Stat, 2019, v. 8, n. 1, p. 1, doi. 10.1002/sta4.226
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- Article
Spatiotemporal mapping of major trauma in Victoria, Australia.
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- PLoS ONE, 2022, v. 17, n. 7, p. 1, doi. 10.1371/journal.pone.0266521
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Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data.
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- Remote Sensing, 2023, v. 15, n. 16, p. 4038, doi. 10.3390/rs15164038
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On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals.
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- Remote Sensing, 2018, v. 10, n. 1, p. 155, doi. 10.3390/rs10010155
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- Article
Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion.
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- Atmospheric Chemistry & Physics, 2022, v. 22, n. 19, p. 12945, doi. 10.5194/acp-22-12945-2022
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- Article
A data-driven approach for assessing ice-sheet mass balance in space and time.
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- Annals of Glaciology, 2015, v. 56, n. 70, p. 175, doi. 10.3189/2015AoG70A021
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- Article
Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion.
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- Cryosphere Discussions, 2021, p. 1, doi. 10.5194/tc-2021-178
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- Publication type:
- Article
Spatial and temporal Antarctic Ice Sheet mass trends, glacio-isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data.
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- Journal of Geophysical Research. Earth Surface, 2016, v. 121, n. 2, p. 182, doi. 10.1002/2015JF003550
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- Article
Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment.
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- Atmospheric Measurement Techniques, 2019, v. 12, n. 9, p. 4659, doi. 10.5194/amt-12-4659-2019
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- Article
Discussion on "Competition on Spatial Statistics for Large Datasets".
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- Journal of Agricultural, Biological & Environmental Statistics (JABES), 2021, v. 26, n. 4, p. 614, doi. 10.1007/s13253-021-00464-0
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A Case Study Competition Among Methods for Analyzing Large Spatial Data.
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- Journal of Agricultural, Biological & Environmental Statistics (JABES), 2019, v. 24, n. 3, p. 398, doi. 10.1007/s13253-018-00348-w
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- Article
An assessment of forward and inverse GIA solutions for Antarctica.
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- Journal of Geophysical Research. Solid Earth, 2016, v. 121, n. 9, p. 6947, doi. 10.1002/2016JB013154
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- Article
Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment.
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- Atmospheric Measurement Techniques Discussions, 2019, p. 1, doi. 10.5194/amt-2019-124
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- Article
Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Annual Greenland mass trends from 2003-2015 from a Bayesian hierarchical modelling approach.
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- Geophysical Research Abstracts, 2018, v. 20, p. 4880
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From Many to One: Consensus Inference in a MIP.
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- Geophysical Research Letters, 2022, v. 49, n. 14, p. 1, doi. 10.1029/2022GL098277
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Constraining the mass balance of East Antarctica.
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- Geophysical Research Letters, 2017, v. 44, n. 9, p. 4168, doi. 10.1002/2017GL072937
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MODELING NONSTATIONARY AND ASYMMETRIC MULTIVARIATE SPATIAL COVARIANCES VIA DEFORMATIONS.
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- Statistica Sinica, 2022, v. 32, n. 4, p. 2071, doi. 10.5705/ss.202020.0156
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- Article
WOMBAT v1.0: a fully Bayesian global flux-inversion framework.
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- Geoscientific Model Development, 2022, v. 15, n. 1, p. 45, doi. 10.5194/gmd-15-45-2022
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- Article
Multivariate spatial covariance models: a conditional approach.
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- Biometrika, 2016, v. 103, n. 4, p. 915, doi. 10.1093/biomet/asw045
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- Article
WOMBAT v1.0: A fully Bayesian global flux-inversion framework.
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- Geoscientific Model Development Discussions, 2021, p. 1, doi. 10.5194/gmd-2021-181
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- Article
Visualization for Large-scale Gaussian Updates.
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- Scandinavian Journal of Statistics, 2016, v. 43, n. 4, p. 1153, doi. 10.1111/sjos.12234
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- Article