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Showing 1 to 1 of 1 for “"Probabilistic Generative Modelling"”.

  1. Statistical Inference and Learning for Stochastic and Partial Differential Equations

    … of change, derived from physical laws and modelling assumptions. Practically, however, mechanistic descriptions alone may prove insufficient to accurately model observed data; the model misspecification can be due to over-simplification, inaccurately specified parameters, or missing …

    cambridge Repository record for Statistical Inference and Learning for Stochastic and Partial Differential Equations (opens in a new tab)