| 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 | 45 | 2022 |
| 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 |
| 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 | 12* | 2021 |
| 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 | 8 | 2022 |
| 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 | 8 | 2019 |
| New algorithms research for first year students A Wirth, M Bertolacci Proceedings of the 11th annual SIGCSE conference on Innovation and …, 2006 | 8 | 2006 |
| 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, ... | 7 | 2023 |
| 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 | 7 | 2022 |
| 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 | 4 | 2023 |
| 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 |
| 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 | 1 | 2023 |
| Evaluating probabilistic forecasts for maritime engineering operations L Astfalck, M Bertolacci, E Cripps Data-Centric Engineering 4, e15, 2023 | 1 | 2023 |
| 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 |
| 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 | | 2024 |
| Data-driven Bayesian transport model mixtures for estimating trace gas emissions in a regional inversion system L Western, M Bertolacci, A Ganesan, S Henne, A Manning, SA Montzka, ... AGU23, 2023 | | 2023 |
| Earth¢s CO2 battle: a view from space N Cressie, A Zammit-Mangion, J Jacobson, M Bertolacci Significance 20 (1), 14-19, 2023 | | 2023 |
| The state of global carbon cycle in 2020 and 2021 J Liu, DF Baker, S Basu, M Bertolacci, KW Bowman, BK Byrne, ... AGU Fall Meeting Abstracts 2022, A16C-02, 2022 | | 2022 |
| Top-down estimate of carbon stock changes in support of the Global Stocktake B Byrne, D Baker, S Basu, M Bertolacci, KW Bowman, A Chatterjee, ... AGU Fall Meeting Abstracts 2021, A51F-01, 2021 | | 2021 |
| AdaptSPEC-X: a spectral method for handling spatially-dependent nonstationarity M Bertolacci | | 2021 |
Andrew Zammit MangionUniversity of WollongongVerified email at uow.edu.au
