Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling

Research article (Structural Control and Health Monitoring, 2022) · cited 23× · AI/ML
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Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling

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Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling. Retrieved May 24, 2026, from https://4ort.xyz/entity/computationally-efficient-bayesian-inference-for-probabilistic-model-updating-with-polynomial-chaos-and-gibbs-sampling
MLA “Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computationally-efficient-bayesian-inference-for-probabilistic-model-updating-with-polynomial-chaos-and-gibbs-sampling.
BibTeX @misc{4ortxyz_computationally-efficient-bayesian-inference-for-probabilistic-model-updating-with-polynomial-chaos-and-gibbs-sampling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling}}, year = {2026}, url = {https://4ort.xyz/entity/computationally-efficient-bayesian-inference-for-probabilistic-model-updating-with-polynomial-chaos-and-gibbs-sampling}, note = {Accessed: 2026-05-24}}
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