Bayesian learning of stochastic dynamical models
Peter Y. Lu, Pierre F. J. Lermusiaux
Topics & Concepts
Bayesian inferenceState variableUncertainty quantificationApproximate Bayesian computationNonlinear systemJoint probability distributionApplied mathematicsInferenceMathematicsReynolds numberDynamical systems theorySubspace topologyComputer scienceBayesian probabilityPosterior probabilityMathematical optimizationMachine learningArtificial intelligenceStatisticsPhysicsMechanicsQuantum mechanicsThermodynamicsTurbulenceGaussian Processes and Bayesian InferenceModel Reduction and Neural NetworksProbabilistic and Robust Engineering Design