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Robust Principal Component Analysis using Density Power Divergence
Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
Principal component analysis (PCA) is a widely employed statistical tool used primarily for dimensionality reduction. However, it is known to be adversely affected by the presence…
Towards -cm intensity mapping at with uGMRT using the tapered gridded estimator III: Foreground removal
Khandakar Md Asif Elahi, Somnath Bharadwaj, Srijita Pal +8
Neutral hydrogen (HI) -cm intensity mapping (IM) is a promising probe of the large-scale structures in the Universe. However, a few orders of magnitude brighter foregrounds obs…
Analysis of the rSVDdpd Algorithm: A Robust Singular Value Decomposition Method using Density Power Divergence
Subhrajyoty Roy, Abhik Ghosh, Ayanendranath Basu
The traditional method of computing singular value decomposition (SVD) of a data matrix is based on a least squares principle, thus, is very sensitive to the presence of outliers.…
Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators
Subhrajyoty Roy, Abir Sarkar, Abhik Ghosh +1
Robust inference based on the minimization of statistical divergences has proved to be a useful alternative to classical techniques based on maximum likelihood and related methods.…
Towards -cm intensity mapping at with uGMRT using the tapered gridded estimator II: Cross-polarization power spectrum
Kh. Md. Asif Elahi, Somnath Bharadwaj, Abhik Ghosh +8
Neutral hydrogen () -cm intensity mapping (IM) offers an efficient technique for mapping the large-scale structures in the universe. We introduce the 'Cross' Tapered G…