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ORCIDDebashis Paul
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2020 – today
- 2024
[j10]Satish Kumar Sain, Debashis Paul, Pradeep Kumar, Ashok Kumar, Man Mohan, Dilip Monga, A. H. Prakash, Yenumula G. Prasad:
Cotton leaf curl disease (CLCuD) prediction modeling in upland cotton under different ecological conditions using machine learning tools. Ecol. Informatics 81: 102648 (2024)- [i2]Yanhao Jin, Krishnakumar Balasubramanian, Debashis Paul:
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation. CoRR abs/2403.19720 (2024) - 2023
- [j9]Jeng-Min Chiou, Frédéric Ferraty, Jeff Goldsmith, Debashis Paul, Jian Qing Shi:
Editorial for the 2nd special issue on high-dimensional and functional data analysis. Comput. Stat. Data Anal. 184: 107726 (2023) - 2021
- [j8]Trambak Banerjee, Gourab Mukherjee, Debashis Paul:
Improved Shrinkage Prediction under a Spiked Covariance Structure. J. Mach. Learn. Res. 22: 180:1-180:40 (2021)
2010 – 2019
- 2019
- [i1]Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul:
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. CoRR abs/1905.09369 (2019) - 2018
- [j7]Hao Yan, Owen T. Carmichael
, Debashis Paul, Jie Peng:
Estimating fiber orientation distribution from diffusion MRI with spherical needlets. Medical Image Anal. 46: 57-72 (2018) - [j6]Iain M. Johnstone, Debashis Paul:
PCA in High Dimensions: An Orientation. Proc. IEEE 106(8): 1277-1292 (2018) - 2017
- [j5]Prabir Burman, Debashis Paul:
Smooth predictive model fitting in regression. J. Multivar. Anal. 155: 165-179 (2017) - 2014
- [j4]Lili Wang, Debashis Paul:
Limiting spectral distribution of renormalized separable sample covariance matrices when p/ni → 0. J. Multivar. Anal. 126: 25-52 (2014) - 2012
- [c2]Varsha Viswanath, Evan Fletcher, Baljeet Singh, Noel Smith, Debashis Paul, Jie Peng, Jun Chen, Owen T. Carmichael:
Impact of DTI smoothing on the study of brain aging. EMBC 2012: 94-97 - 2011
- [j3]Tomoko Matsuo, Douglas W. Nychka, Debashis Paul:
Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach. Comput. Stat. Data Anal. 55(6): 2059-2073 (2011)
2000 – 2009
- 2009
- [j2]Debashis Paul, Jack W. Silverstein:
No eigenvalues outside the support of the limiting empirical spectral distribution of a separable covariance matrix. J. Multivar. Anal. 100(1): 37-57 (2009) - 2006
- [j1]Ping Li, Debashis Paul, Ravi Narasimhan, John M. Cioffi:
On the distribution of SINR for the MMSE MIMO receiver and performance analysis. IEEE Trans. Inf. Theory 52(1): 271-286 (2006) - [c1]Sudipta Saha, Debashis Paul, Ashutosh Mukherjee, Somnath Banerjee, G. C. Majumder:
Development of a Unique Computerized Spectrophotometric System with Vertical Movement of the Cuvette for Sperm Motilty Analysis. CCECE 2006: 1399-1402
Coauthor Index
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