Strathprints makes available scholarly Open Access content seeking to respond to the medical, scientific, economic and social emergencies arising from the COVID-19 pandemic. Researchers from across the Faculties of Science, Engineering, Business and the Humanities, Arts & Social Sciences (HaSS) are all contributing to improved human understanding of -- or solutions to -- the issues surrounding management of the pandemic and the post-pandemic recovery.
Explore COVID-19 related Open Access research. Or explore all of Strathclyde's Open Access research...
Estrada-Lugo, Hector Diego and Tolo, Silvia and De Angelis, Marco and Patelli, Edoardo (2019) Pseudo credal networks for inference with probability intervals. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5 (4). 041010. ISSN 2332-9025
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