| 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 | 133 | 2022 |
| National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake, Earth Syst. Sci. Data, 15, 963–1004 B Byrne, DF Baker, S Basu, M Bertolacci, KW Bowman, D Carroll, ... | 37 | 2023 |
| Are approximation algorithms for consensus clustering worthwhile? M Bertolacci, A Wirth Proceedings of the 2007 SIAM International Conference on Data Mining, 437-442, 2007 | 34 | 2007 |
| Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W He, F Jiang, W Ju, F Chevallier, DF Baker, J Wang, M Wu, MS Johnson, ... Journal of Geophysical Research: Atmospheres 128 (14), e2022JD037773, 2023 | 23 | 2023 |
| WOMBAT v1. 0: A fully Bayesian global flux-inversion framework A Zammit-Mangion, M Bertolacci, J Fisher, A Stavert, ML Rigby, Y Cao, ... Geoscientific Model Development Discussions 2021, 1-51, 2021 | 18* | 2021 |
| Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion AC Stell, M Bertolacci, A Zammit-Mangion, M Rigby, PJ Fraser, CM Harth, ... Atmospheric Chemistry and Physics 22 (19), 12945-12960, 2022 | 17 | 2022 |
| Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B Gaubert, BB Stephens, DF Baker, S Basu, M Bertolacci, KW Bowman, ... Global Biogeochemical Cycles 37 (12), e2023GB007804, 2023 | 15 | 2023 |
| Climate inference on daily rainfall across the Australian continent, 1876–2015 M Bertolacci, E Cripps, O Rosen, JW Lau, S Cripps The Annals of Applied Statistics 13 (2), 683-712, 2019 | 12 | 2019 |
| Adaptspec-x: Covariate-dependent spectral modeling of multiple nonstationary time series M Bertolacci, O Rosen, E Cripps, S Cripps Journal of Computational and Graphical Statistics 31 (2), 436-454, 2022 | 9 | 2022 |
| New algorithms research for first year students A Wirth, M Bertolacci Proceedings of the 11th annual SIGCSE conference on Innovation and …, 2006 | 8 | 2006 |
| Evaluating probabilistic forecasts for maritime engineering operations L Astfalck, M Bertolacci, E Cripps Data-Centric Engineering 4, e15, 2023 | 5 | 2023 |
| GeoWarp: Warped spatial processes for inferring subsea sediment properties M Bertolacci, A Zammit-Mangion, J Valderrama Giraldo, M O’Neill, ... Journal of the American Statistical Association 120 (550), 710-722, 2025 | 3 | 2025 |
| From many to one: Consensus inference in a MIP N Cressie, M Bertolacci, A Zammit‐Mangion Geophysical Research Letters 49 (14), e2022GL098277, 2022 | 3 | 2022 |
| WOMBAT: A fully Bayesian global flux-inversion framework A Zammit-Mangion, M Bertolacci, J Fisher, A Stavert, ML Rigby, Y Cao, ... arXiv preprint arXiv:2102.04004, 2021 | 3 | 2021 |
| Inferring changes to the global carbon cycle with WOMBAT v2. 0, a hierarchical flux-inversion framework M Bertolacci, A Zammit-Mangion, A Schuh, B Bukosa, JA Fisher, Y Cao, ... The Annals of Applied Statistics 18 (1), 303-327, 2024 | 2 | 2024 |
| A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent M Bertolacci, E Cripps, O Rosen, S Cripps arXiv preprint arXiv:1804.08807, 2018 | 1 | 2018 |
| Comparison of Approaches to Data-Driven Site Characterization in an Offshore Carbonate Soil Environment in North Western Australia J Valderrama-Giraldo, Q Liu, M Bertolacci, F Bransby, P Watson, ... ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2026 | | 2026 |
| WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO2 Flux Components From Multiprocess Data J Jacobson, M Bertolacci, A Zammit‐Mangion, A Schuh, N Cressie Environmetrics 36 (8), e70052, 2025 | | 2025 |
| Exploring the use of machine learning to support anchor pile design at unseen seabed locations Q Liu, M Bertolacci, MF Bransby, T French, P Watson | | 2025 |
| Methane Emissions Quantification Across Spatial Scales Using MethaneAIR: an Inverse Modeling Approach J Bushey, JS Benmergui, J Kostinek, M Bertolacci, A Chulakadabba, ... AGU Fall Meeting Abstracts 2024, A43T-03, 2024 | | 2024 |
Andrew Zammit MangionAssociate Professor, School of Mathematics and Applied Statistics, University of WollongongVerified email at uow.edu.au
