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May 31, 2023
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May 17, 2023PN 6
Meta-Uncertainty represents a fully probabilistic framework for quantifying the uncertainty over Bayesian posterior model probabilities (PMPs) using meta-models. Meta-models integrate simulated and observed data into a predictive distribution for new PMPs and help reduce overconfidence and estimate the PMPs in future replication studies. |
May 12, 2023Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)
RP11-1: Long-span Fibre Composite Structures. RP11-2: Hybrid FRP-Timber Building System and Material System Development. |
May 2, 2023
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