Debashis Paul

According to our database, Debashis Paul authored at least 14 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation.

Yanhao Jin, Krishnakumar Balasubramanian, Debashis Paul

CoRR, 2024

2023

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., August, 2023

2021

Improved Shrinkage Prediction under a Spiked Covariance Structure.

Trambak Banerjee, Gourab Mukherjee, Debashis Paul

J. Mach. Learn. Res., 2021

2019

Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting.

Arvind Prasadan, Raj Rao Nadakuditi, Debashis Paul

CoRR, 2019

2018

PCA in High Dimensions: An Orientation.

Iain M. Johnstone, Debashis Paul

Proc. IEEE, 2018

Estimating fiber orientation distribution from diffusion MRI with spherical needlets.

Hao Yan, Owen T. Carmichael, Debashis Paul, Jie Peng

Medical Image Anal., 2018

2017

Smooth predictive model fitting in regression.

Prabir Burman, Debashis Paul

J. Multivar. Anal., 2017

2014

Limiting spectral distribution of renormalized separable sample covariance matrices when p/ni → 0.

Lili Wang, Debashis Paul

J. Multivar. Anal., 2014

2012

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

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach.

Tomoko Matsuo, Douglas W. Nychka, Debashis Paul

Comput. Stat. Data Anal., 2011

2009

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

2006

On the distribution of SINR for the MMSE MIMO receiver and performance analysis.

Ping Li, Debashis Paul, Ravi Narasimhan, John M. Cioffi

IEEE Trans. Inf. Theory, 2006

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

Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006