Publications (23)
Geometric kernel smoothing of tensor fields
Owen Carmichael, Jun Chen, Debashis Paul +1
Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI
Raymond K. W. Wong, Thomas C. M. Lee, Debashis Paul +2
Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach
Debashis Paul, Jie Peng
Nonparametric estimation of dynamics of monotone trajectories
Debashis Paul, Jie Peng, Prabir Burman
"Pre-conditioning" for feature selection and regression in high-dimensional problems
Debashis Paul, Eric Bair, Trevor Hastie +1
Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues
Peter Hall, Young K. Lee, Byeong U. Park +1
Shrinking the Quadratic Estimator
Ethan Anderes, Debashis Paul
Adaptation in a class of linear inverse problems
Iain M. Johnstone, Debashis Paul
A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data
Jie Peng, Debashis Paul
High-dimensional genome-wide association study and misspecified mixed model analysis
Jiming Jiang, Cong Li, Debashis Paul +2
Semiparametric modeling of autonomous nonlinear dynamical systems with applications
Debashis Paul, Jie Peng, Prabir Burman
Augmented sparse principal component analysis for high dimensional data
Debashis Paul, Iain M. Johnstone
Time-warped growth processes, with applications to the modeling of boom-bust cycles in house prices
Jie Peng, Debashis Paul, Hans-Georg Müller
Limiting spectral distribution of renormalized separable sample covariance matrices when $p/n\to 0$
Lili Wang, Debashis Paul
Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth
Debashis Paul, Jie Peng, Prabir Burman
Consistency of restricted maximum likelihood estimators of principal components
Debashis Paul, Jie Peng
High-dimensional general linear hypothesis tests via non-linear spectral shrinkage
Haoran Li, Alexander Aue, Debashis Paul
A Multi-Resolution Model for Non-Gaussian Random Fields on a Sphere with Application to Ionospheric Electrostatic Potentials
Minjie Fan, Debashis Paul, Thomas C. M. Lee +1
Estimating fiber orientation distribution from diffusion MRI with spherical needlets
Hao Yan, Owen Carmichael, Debashis Paul +1
On the MarÄenko-Pastur law for linear time series
Haoyang Liu, Alexander Aue, Debashis Paul
Minimax bounds for sparse PCA with noisy high-dimensional data
Aharon Birnbaum, Iain M. Johnstone, Boaz Nadler +1
Modeling Tangential Vector Fields on a Sphere
Minjie Fan, Debashis Paul, Thomas C. M. Lee +1
Spectral analysis of linear time series in moderately high dimensions
Lili Wang, Alexander Aue, Debashis Paul