Ayanendranath Basu

21 papers C 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A componentwise estimation procedure for multivariate location and scatter: Robustness, efficiency and scalability.
J. Multivar. Anal.
Soumya Chakraborty, Ayanendranath Basu, Abhik Ghosh
2025 J jnl
Blind source separation using novel independence interpretations for bounded support random vector.
J. Frankl. Inst.
Bhaveshkumar C. Dharmani, Suman Kumar Mitra, Ayanendranath Basu
2025 J jnl
Robust inference for linear regression models with possibly skewed error distribution.
J. Comput. Appl. Math.
Amarnath Nandy, Ayanendranath Basu, Abhik Ghosh
2024 J jnl
Robust Principal Component Analysis using Density Power Divergence.
J. Mach. Learn. Res.
Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
2024 J jnl
Robust singular value decomposition with application to video surveillance background modelling.
Stat. Comput.
Subhrajyoty Roy, Abhik Ghosh, Ayanendranath Basu
2023 J jnl
Characterizing the Functional Density Power Divergence Class.
IEEE Trans. Inf. Theory
Souvik Ray, Subrata Pal, Sumit Kumar Kar, Ayanendranath Basu
2022 J jnl
Robust density power divergence based tests in multivariate analysis: A comparative overview of different approaches.
J. Multivar. Anal.
Ayanendranath Basu, Soumya Chakraborty, Abhik Ghosh, Leandro Pardo
2021 J jnl
A Scale-Invariant Generalization of the Rényi Entropy, Associated Divergences and Their Optimizations Under Tsallis' Nonextensive Framework.
IEEE Trans. Inf. Theory
Abhik Ghosh, Ayanendranath Basu
2019 J jnl
A Characterization of All Single-Integral, Non-Kernel Divergence Estimators.
IEEE Trans. Inf. Theory
Soham Jana, Ayanendranath Basu
2019 J jnl
A Scale-invariant Generalization of Renyi Entropy and Related Optimizations under Tsallis' Nonextensive Framework.
CoRR
Abhik Ghosh, Ayanendranath Basu
2018 J jnl
A Generalized Relative (
Entropy
Abhik Ghosh, Ayanendranath Basu
2018 J jnl
A New Family of Divergences Originating From Model Adequacy Tests and Application to Robust Statistical Inference.
IEEE Trans. Inf. Theory
Abhik Ghosh, Ayanendranath Basu
2016 C conf
A New Family of Bounded Divergence Measures and Application to Signal Detection.
ICPRAM
Shivakumar Jolad, Ahmed Roman, Mahesh C. Shastry, Mihir Gadgil, Ayanendranath Basu
2015 J jnl
A Novel Minimum Divergence Approach to Robust Speaker Identification.
CoRR
Ayanendranath Basu, Smarajit Bose, Amita Pal, Anish Mukherjee, Debasmita Das
2015 J jnl
Minimum Distance Estimation of Milky Way Model Parameters and Related Inference.
SIAM/ASA J. Uncertain. Quantification
Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee
2015 J jnl
On second order efficient robust inference.
Comput. Stat. Data Anal.
Subhadeep Paul, Ayanendranath Basu
2013 J jnl
Minimum disparity estimation: Improved efficiency through inlier modification.
Comput. Stat. Data Anal.
Abhijit Mandal, Ayanendranath Basu
2004 J jnl
An efficient set estimator in high dimensions: consistency and applications to fast data visualization.
Comput. Vis. Image Underst.
Adrish Ray Chaudhuri, Ayanendranath Basu, Kar-Han Tan, Subir Kumar Bhandari, B. B. Chaudhuri
2004 J jnl
Some variants of minimum disparity estimation.
Comput. Stat. Data Anal.
Ayanendranath Basu, Chanseok Park, Bruce G. Lindsay, Haihong Li
2004 J jnl
The iteratively reweighted estimating equation in minimum distance problems.
Comput. Stat. Data Anal.
Ayanendranath Basu, Bruce G. Lindsay
1998 — conf
Consistent Set Estimation in k-Dimensions: An efficient Approach.
SSPR/SPR
Adrish Ray Chaudhuri, Ayanendranath Basu, Subir Kumar Bhandari, B. B. Chaudhuri