This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...
The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
A group of researchers led by Saudi Arabia's King Fahd University of Petroleum & Minerals (KFUPM) has developed a novel spatio-temporal decision-making model for the development of hybrid photovoltaic ...
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