Debashis Paul

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 8

Top Topics

Predictive Model

High Dimensional

Top Venues

J. Multivar. Anal.

Medical Image Anal.

Publications

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 (2024)
Yanhao Jin, Krishnakumar Balasubramanian, Debashis Paul
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation. CoRR (2024)
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 (2023)
Trambak Banerjee, Gourab Mukherjee, Debashis Paul
Improved Shrinkage Prediction under a Spiked Covariance Structure. J. Mach. Learn. Res. 22 (2021)
Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting. CoRR (2019)
Iain M. Johnstone, Debashis Paul
PCA in High Dimensions: An Orientation. Proc. IEEE 106 (8) (2018)
Hao Yan, Owen T. Carmichael, Debashis Paul, Jie Peng
Estimating fiber orientation distribution from diffusion MRI with spherical needlets. Medical Image Anal. 46 (2018)
Prabir Burman, Debashis Paul
Smooth predictive model fitting in regression. J. Multivar. Anal. 155 (2017)
Lili Wang, Debashis Paul
Limiting spectral distribution of renormalized separable sample covariance matrices when p/ni → 0. J. Multivar. Anal. 126 (2014)
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)
Tomoko Matsuo, Douglas W. Nychka, Debashis Paul
Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach. Comput. Stat. Data Anal. 55 (6) (2011)
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) (2009)
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)
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) (2006)