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Andrew Zammit Mangion

Mathematiker

Name	Andrew Zammit Mangion
Place	Bristol (Wirkungsort) Großbritannien
Gender	männlich
Profession	Mathematiker (characteristic profession)
Variant	Andrew Zammit Mangion Andrew Zammit-Mangion
Related	University of Wollongong (2014-) University of Bristol (2012-2014)
Source	Internet: https://niasra.uow.edu.au/cei/people/UOW202823.html (Stand: 23.04.2019)
Record type	Person
GND-Identifier	1043428674
Record ID	1043428674
Involved in show all National CO<sub>2</sub> budgets (2015–2020) inferred from atmospheric CO<sub>2</sub> observations in support of the global stocktake National CO<sub>2</sub> budgets (2015–2020) inferred from atmospheric CO<sub>2</sub> observations in support of the Global Stocktake Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion Discussion on “Competition on Spatial Statistics for Large Datasets” Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion Multi-scale process modelling and distributed computation for spatial data Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment

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Katalog der Deutschen Nationalbibliothek

Andrew Zammit Mangion

National CO<sub>2</sub> budgets (2015–2020) inferred from atmospheric CO<sub>2</sub> observations in support of the global stocktake

National CO<sub>2</sub> budgets (2015&ndash;2020) inferred from atmospheric CO<sub>2</sub> observations in support of the Global Stocktake

Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion

Discussion on “Competition on Spatial Statistics for Large Datasets”

Mass evolution of the Antarctic Peninsula over the last two decades from a joint Bayesian inversion

Multi-scale process modelling and distributed computation for spatial data

Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment

Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment

National CO<sub>2</sub> budgets (2015–2020) inferred from atmospheric CO<sub>2</sub> observations in support of the Global Stocktake