Andrew Zammit Mangion
Cited by
Cited by
Methods for analyzing large spatial data: A review and comparison
MJ Heaton, A Datta, A Finley, R Furrer, R Guhaniyogi, F Gerber, ...
arXiv preprint arXiv:1710.05013 22, 2017
Spatio-temporal statistics with R
CK Wikle, A Zammit-Mangion, N Cressie
Chapman and Hall/CRC, 2019
Point process modelling of the Afghan War Diary
A Zammit-Mangion, M Dewar, V Kadirkamanathan, G Sanguinetti
Proceedings of the National Academy of Sciences 109 (31), 12414-12419, 2012
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
A Martín‐Español, A Zammit‐Mangion, PJ Clarke, T Flament, V Helm, ...
Journal of Geophysical Research: Earth Surface 121 (2), 182-200, 2016
Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods
AL Ganesan, M Rigby, A Zammit-Mangion, AJ Manning, RG Prinn, ...
Atmospheric Chemistry and Physics 14 (8), 3855-3864, 2014
FRK: An R package for spatial and spatio-temporal prediction with large datasets
A Zammit-Mangion, N Cressie
arXiv preprint arXiv:1705.08105, 2017
An assessment of forward and inverse GIA solutions for Antarctica
A Martín‐Español, MA King, A Zammit‐Mangion, SB Andrews, P Moore, ...
Journal of Geophysical Research: Solid Earth 121 (9), 6947-6965, 2016
Deep compositional spatial models
A Zammit-Mangion, TLJ Ng, Q Vu, M Filippone
Journal of the American Statistical Association 117 (540), 1787-1808, 2022
Multivariate spatial covariance models: a conditional approach
N Cressie, A Zammit-Mangion
Biometrika 103 (4), 915-935, 2016
National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the Global Stocktake
B Byrne, DF Baker, S Basu, M Bertolacci, KW Bowman, D Carroll, ...
Earth System Science Data Discussions 2022, 1-59, 2022
Multivariate spatio‐temporal modelling for assessing Antarctica's present‐day contribution to sea‐level rise
A Zammit‐Mangion, J Rougier, N Schön, F Lindgren, J Bamber
Environmetrics 26 (3), 159-177, 2015
Deep integro-difference equation models for spatio-temporal forecasting
A Zammit-Mangion, CK Wikle
Spatial Statistics 37, 100408, 2020
Constraining the mass balance of East Antarctica
A Martin‐Español, JL Bamber, A Zammit‐Mangion
Geophysical Research Letters 44 (9), 4168-4175, 2017
Resolving the Antarctic contribution to sea‐level rise: A hierarchical modelling framework
A Zammit‐Mangion, J Rougier, J Bamber, N Schön
Environmetrics 25 (4), 245-264, 2014
On statistical approaches to generate level 3 products from satellite remote sensing retrievals
A Zammit-Mangion, N Cressie, C Shumack
Remote Sensing 10 (1), 155, 2018
Basis-function models in spatial statistics
N Cressie, M Sainsbury-Dale, A Zammit-Mangion
Annual Review of Statistics and Its Application 9, 373-400, 2022
Variational estimation in spatiotemporal systems from continuous and point-process observations
A Zammit-Mangion, G Sanguinetti, V Kadirkamanathan
IEEE Transactions on Signal Processing 60 (7), 3449-3459, 2012
Statistical deep learning for spatial and spatiotemporal data
CK Wikle, A Zammit-Mangion
Annual Review of Statistics and Its Application 10, 247-270, 2023
Online variational inference for state-space models with point-process observations
AZ Mangion, K Yuan, V Kadirkamanathan, M Niranjan, G Sanguinetti
Neural computation 23 (8), 1967-1999, 2011
Likelihood-free parameter estimation with neural Bayes estimators
M Sainsbury-Dale, A Zammit-Mangion, R Huser
The American Statistician 78 (1), 1-14, 2024
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