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Uncertainty Quantification in Inverse Models in Hydrology., , , , , , , and . CoRR, (2023)Approximate Bayesian Computation for Physical Inverse Modeling., , , and . CoRR, (2021)Winsorization for Robust Bayesian Neural Networks., and . Entropy, 23 (11): 1546 (2021)A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics., , , , and . ICDM, page 151-160. IEEE Computer Society, (2013)Structural Equation Modeling, A Bayesian Approach.. Technometrics, 50 (3): 411-412 (2008)Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks., , , , , , , and . IEEE Trans. Knowl. Data Eng., 32 (9): 1798-1811 (2020)A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series., , , , , and . CoRR, (2019)High dimensional data analysis using multivariate generalized spatial quantiles., and . J. Multivar. Anal., 102 (4): 768-780 (2011)Probabilistic Inverse Modeling: An Application in Hydrology., , , , , , , and . SDM, page 847-855. SIAM, (2023)Order Statistics.. Technometrics, 46 (3): 364-365 (2004)