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Debashis Paul

Identifiers

  • name variant Debashis Paul 0.60 · backfill

Papers (24)

  1. High-dimensional general linear hypothesis tests via non-linear spectral shrinkage stat.ME · 2018 · author #3
  2. A Multi-Resolution Model for Non-Gaussian Random Fields on a Sphere with Application to Ionospheric Electrostatic Potentials stat.AP · 2017 · author #2
  3. Modeling Tangential Vector Fields on a Sphere stat.ME · 2016 · author #2
  4. Estimating fiber orientation distribution from diffusion MRI with spherical needlets stat.AP · 2016 · author #3
  5. An adaptable generalization of Hotelling's $T^2$ test in high dimension stat.ME · 2016 · author #3
  6. Spectral analysis of linear time series in moderately high dimensions math.ST · 2015 · author #3
  7. Time-warped growth processes, with applications to the modeling of boom-bust cycles in house prices stat.AP · 2014 · author #2
  8. Nonparametric estimation of dynamics of monotone trajectories math.ST · 2014 · author #1
  9. Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI stat.ME · 2014 · author #3
  10. High-dimensional genome-wide association study and misspecified mixed model analysis math.ST · 2014 · author #3
  11. On the Mar\v{c}enko-Pastur law for linear time series math.ST · 2013 · author #3
  12. Adaptation in a class of linear inverse problems math.ST · 2013 · author #2
  13. Limiting spectral distribution of renormalized separable sample covariance matrices when $p/n\to 0$ math.ST · 2013 · author #2
  14. Minimax bounds for sparse PCA with noisy high-dimensional data math.ST · 2012 · author #4
  15. Augmented sparse principal component analysis for high dimensional data math.ST · 2012 · author #1
  16. Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth stat.AP · 2011 · author #1
  17. Shrinking the Quadratic Estimator astro-ph.IM · 2011 · author #2
  18. Geometric kernel smoothing of tensor fields stat.ME · 2010 · author #3
  19. Semiparametric modeling of autonomous nonlinear dynamical systems with applications stat.ME · 2009 · author #1
  20. Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues math.ST · 2009 · author #4
  21. Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach stat.ME · 2008 · author #1
  22. Consistency of restricted maximum likelihood estimators of principal components math.ST · 2008 · author #1
  23. A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data stat.ME · 2007 · author #2
  24. "Pre-conditioning" for feature selection and regression in high-dimensional problems math.ST · 2007 · author #1

Mentions

  • 1408.5339 #1 · backfill · confidence 0.70 Debashis Paul
  • 1406.0581 #3 · backfill · confidence 0.70 Debashis Paul
  • 1404.2355 #3 · backfill · confidence 0.70 Debashis Paul
  • 1310.7270 #3 · backfill · confidence 0.70 Debashis Paul
  • 1310.7149 #2 · backfill · confidence 0.70 Debashis Paul
  • 1308.1766 #2 · backfill · confidence 0.70 Debashis Paul
  • 1203.0967 #4 · backfill · confidence 0.70 Debashis Paul
  • 1202.1242 #1 · backfill · confidence 0.70 Debashis Paul
  • 1111.7089 #1 · backfill · confidence 0.70 Debashis Paul
  • 1110.1694 #2 · backfill · confidence 0.70 Debashis Paul
  • 1011.6298 #3 · backfill · confidence 0.70 Debashis Paul
  • 0906.3501 #1 · backfill · confidence 0.70 Debashis Paul
  • 0906.2128 #4 · backfill · confidence 0.70 Debashis Paul
  • 0807.1106 #1 · backfill · confidence 0.70 Debashis Paul
  • 0805.0465 #1 · backfill · confidence 0.70 Debashis Paul
  • 0710.5343 #2 · backfill · confidence 0.70 Debashis Paul

Frequent Coauthors