Bayesian inference

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Bayesian inference

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Comparative study between Cubic and Ellipsoidal Fokker-Planck kinetic models

Learning to Reduce Annotation Load

Efficient Learning from Comparisons

Multigrid Methods Combined With Low-Rank Approximation For Tensor-Structured Markov Chains

Low-rank tensor methods for large Markov chains and forward feature selection methods

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

Machine Learning for Uncertainty Reduction in Biochemical Kinetic Models

Feedback and Mediation in Causal Inference Illustrated by Stochastic Process Models

Application of a Point Estimate Method for incorporating the epistemic uncertainty in the seismic assessment of a masonry building

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes