Conditional formulation for the calibration of multi-level random fields with incomplete data

H Xu, P Gardoni - Reliability Engineering & System Safety, 2020 - Elsevier
Random fields are widely used in the modeling of spatially varying quantities. As an
extension, multi-level random fields capture not only the spatial variability, but also the …
被引用次数：19 相关文章

Conditional formulation for the calibration of multi-level random fields with incomplete data

H Xu, P Gardoni - Reliability Engineering and System Safety, 2020 - ideas.repec.org
Random fields are widely used in the modeling of spatially varying quantities. As an
extension, multi-level random fields capture not only the spatial variability, but also the …

Conditional formulation for the calibration of multi-level random fields with incomplete data

H Xu, P Gardoni - Reliability Engineering and System Safety, 2020 - experts.illinois.edu
Random fields are widely used in the modeling of spatially varying quantities. As an
extension, multi-level random fields capture not only the spatial variability, but also the …

Conditional formulation for the calibration of multi-level random fields with incomplete data

H Xu, P Gardoni - Reliability Engineering and System Safety, 2020 - econpapers.repec.org
Random fields are widely used in the modeling of spatially varying quantities. As an
extension, multi-level random fields capture not only the spatial variability, but also the …