Constructing a Site-Specific Multivariate Probability Distribution Using Sparse, Incomplete, and Spatially Variable (MUSIC-X) Data
By Jianye Ching, Kok-Kwang Phoon. 2020
67 citations recorded by the source corpus.
AbstractIt is important to be able to construct a site-specific multivariate probability density function (PDF) of soil parameters based on limited and incomplete site-specific investigation data a...
Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/ebe67d8cd341397b3154922257b301e1b1a59884
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- A. Stuedlein
- Jianye Ching
- Zhiyong Yang
- Kok-Kwang Phoon
- Dianqing Li
- Z. Cao
- James L. Beck
- Xiao-Song Tang
In Safety, Risk, Reliability and Quality
- A. Stuedlein
- Zhiyong Yang
- Jianye Ching
- Kok-Kwang Phoon
- Dianqing Li
- Z. Cao
- Marcos A. Valdebenito
- Gerhart I. Schuëller
Citations in the corpus
- Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data (2021, methodology): “To optimise the performance of GS, conjugate priors of μs and Cs are adopted: f (m s ) = N(m s ; m 0 , C0) f (Cs) = IW(Cs; S0, n0) (2) where μ0 and C0 are the prior mean and prior covariance for μs; IW(Cs; Σ0,ν0) is the inverse-Wishart PDF (James 1964) with prior scale matrix = Σ0 and prior degree o”