Development of a Unique Computerized Spectrophotometric System with Vertical Movement of the Cuvette for Sperm Motilty Analysis. - Sudipta Saha; Debashis Paul; Ashutosh Mukherjee; Somnath Banerjee; G. C. Majumder (CCECE, 2006)

On the distribution of SINR for the MMSE MIMO receiver and performance analysis. - Ping Li 001; Debashis Paul; Ravi Narasimhan; John M. Cioffi (IEEE Trans. Inf. Theory, 2006)

No eigenvalues outside the support of the limiting empirical spectral distribution of a separable covariance matrix. - Debashis Paul; Jack W. Silverstein (J. Multivar. Anal., 2009)

Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach. - Tomoko Matsuo; Douglas W. Nychka; Debashis Paul (Comput. Stat. Data Anal., 2011)

Impact of DTI smoothing on the study of brain aging. - Varsha Viswanath; Evan Fletcher; Baljeet Singh; Noel Smith; Debashis Paul; Jie Peng; Jun Chen; Owen T. Carmichael (EMBC, 2012)

Limiting spectral distribution of renormalized separable sample covariance matrices when p/ni → 0. - Lili Wang 003; Debashis Paul (J. Multivar. Anal., 2014)

Smooth predictive model fitting in regression. - Prabir Burman; Debashis Paul (J. Multivar. Anal., 2017)

Estimating fiber orientation distribution from diffusion MRI with spherical needlets. - Hao Yan; Owen T. Carmichael; Debashis Paul; Jie Peng (Medical Image Anal., 2018)

PCA in High Dimensions: An Orientation. - Iain M. Johnstone; Debashis Paul (Proc. IEEE, 2018)

Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. - Arvind Prasadan; Raj Rao Nadakuditi; Debashis Paul (CoRR, 2019)

Improved Shrinkage Prediction under a Spiked Covariance Structure. - Trambak Banerjee; Gourab Mukherjee; Debashis Paul (J. Mach. Learn. Res., 2021)

Editorial for the 2nd special issue on high-dimensional and functional data analysis. - Jeng-Min Chiou; Frédéric Ferraty; Jeff Goldsmith; Debashis Paul; Jian Qing Shi (Comput. Stat. Data Anal., 2023)

Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation. - Yanhao Jin; Krishnakumar Balasubramanian 002; Debashis Paul (CoRR, 2024)

Cotton leaf curl disease (CLCuD) prediction modeling in upland cotton under different ecological conditions using machine learning tools. - Satish Kumar Sain; Debashis Paul; Pradeep Kumar; Ashok Kumar; Man Mohan; Dilip Monga; A. H. Prakash; Yenumula G. Prasad (Ecol. Informatics, 2024)