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Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration., , , , and . Environ. Model. Softw., (2021)Exploiting Field Dependencies for Learning on Categorical Data., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (11): 13509-13522 (November 2023)A Semiautomatic Method for History Matching Using Sequential Monte Carlo., , and . SIAM/ASA J. Uncertain. Quantification, 9 (3): 1034-1063 (2021)Conceptualisation and application of models for groundwater-surface water interactions and nitrate attenuation potential in riparian zones., , and . Environ. Model. Softw., 23 (7): 859-875 (2008)The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings., , , , and . Environ. Model. Softw., (October 2023)Enforcing mean reversion in state space models for prawn pond water quality forecasting., , , and . Comput. Electron. Agric., (2020)Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires., , , , , , , and . CoRR, (2022)Streamflow rating uncertainty: Characterisation and impacts on model calibration and performance., , , , , , , and . Environ. Model. Softw., (2015)Gaussian process machine learning and Kriging for groundwater salinity interpolation., , and . Environ. Model. Softw., (2021)Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems., , , and . CoRR, (2024)