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Found 6 papers, 2 papers with code
Robust Principal Component Analysis using Density Power Divergence
On the other end of the spectrum, robust PCA algorithms solving principal component pursuit or similar optimization problems have high breakdown, but lack theoretical richness and demand high computational power compared to the M-estimators.
rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm
In this paper, we present a new video surveillance background modelling algorithm based on a new robust singular value decomposition technique rSVDdpd which takes care of both these issues.
Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
Many real-life data sets can be analyzed using Linear Mixed Models (LMMs).
Methodology Applications 62F35, 62J05
Foreground modelling via Gaussian process regression: an application to HERA data
The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission.
Cosmology and Nongalactic Astrophysics
Robust Generalised Quadratic Discriminant Analysis
Quadratic discriminant analysis (QDA) is a widely used statistical tool to classify observations from different multivariate Normal populations.
The visibility based Tapered Gridded Estimator (TGE) for the redshifted 21-cm power spectrum
An earlier version of the 2D TGE for the angular power spectrum $C_{\ell}$ is improved and then extended to obtain the 3D TGE for the power spectrum $P({\bf k})$ of the 21-cm brightness temperature fluctuations.
Cosmology and Nongalactic Astrophysics
