Bayesian statistical modelling has emerged as a versatile and powerful framework in the social sciences, providing a coherent means of integrating prior knowledge with observed data. By treating ...
Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...
On Wednesday the 1st of April 2026, M.Eng. Chengkun Li defends his PhD thesis on Surrogate-based methods for efficient Bayesian posterior computation. The thesis is related to research done in the ...
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