Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation.
Martin KilbingerEmille E. O. IshidaJessi Cisewski-KehePublished in: Astron. Comput. (2023)
Keyphrases
- covariance matrix
- class conditional densities
- covariance matrices
- eigendecomposition
- principal component analysis
- sample size
- mahalanobis distance
- positive definite
- maximum likelihood
- correlation matrix
- pseudo inverse
- bayesian networks
- cma es
- geometrical interpretation
- eigenvalues and eigenvectors
- gaussian mixture
- objective function
- matrix inversion
- estimation error
- multivariate gaussian
- evolution strategy
- em algorithm
- computational complexity
- image processing
- multivariate normal
- mahalanobis metric