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Debashis Paul

Showing results (1-10 of 28) with videos related to

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Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|October 6, 2018
PCA in High Dimensions: An orientationIain M Johnstone, Debashis Paul
Statistica Sinica|February 10, 2018
Modeling subject-specific nonautonomous dynamicsSiyuan Zhou, Debashis Paul, Jie Peng
Sankhya. Series B. [Methodological.]|November 6, 2019
Local linear estimation for spatial random processes with stochastic trend and stationary noiseJung Won Hyun, Prabir Burman, Debashis Paul
Journal of Statistical Planning and Inference|April 24, 2023
Variance Estimation and Confidence Intervals from Genome-wide Association Studies Through High-dimensional Misspecified Mixed Model AnalysisCecilia Dao, Jiming Jiang, Debashis Paul, et al.
Medical Image Analysis|March 5, 2018
Estimating fiber orientation distribution from diffusion MRI with spherical needletsHao Yan, Owen Carmichael, Debashis Paul, et al.
Scientific Reports|February 11, 2022
Inference on the dynamics of COVID-19 in the United StatesSatarupa Bhattacharjee, Shuting Liao, Debashis Paul, et al.
Electronic Journal of Statistics|November 25, 2014
Diffusion tensor smoothing through weighted Karcher meansOwen Carmichael, Jun Chen, Debashis Paul, et al.
Annals of Statistics|October 18, 2014
MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY HIGH-DIMENSIONAL DATAAharon Birnbaum, Iain M Johnstone, Boaz Nadler, et al.
The Annals of Applied Statistics|November 6, 2019
A MULTI-RESOLUTION MODEL FOR NON-GAUSSIAN RANDOM FIELDS ON A SPHERE WITH APPLICATION TO IONOSPHERIC ELECTROSTATIC POTENTIALSMinjie Fan, Debashis Paul, Thomas C M Lee, et al.
The Annals of Applied Statistics|May 9, 2025
ESTIMATING FIBER ORIENTATION DISTRIBUTION WITH APPLICATION TO STUDY BRAIN LATERALIZATION USING HCP D-MRI DATASeungyong Hwang, Thomas C M Lee, Debashis Paul, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|October 6, 2018
PCA in High Dimensions: An orientationIain M Johnstone, Debashis Paul
Statistica Sinica|February 10, 2018
Modeling subject-specific nonautonomous dynamicsSiyuan Zhou, Debashis Paul, Jie Peng
Sankhya. Series B. [Methodological.]|November 6, 2019
Local linear estimation for spatial random processes with stochastic trend and stationary noiseJung Won Hyun, Prabir Burman, Debashis Paul
Journal of Statistical Planning and Inference|April 24, 2023
Variance Estimation and Confidence Intervals from Genome-wide Association Studies Through High-dimensional Misspecified Mixed Model AnalysisCecilia Dao, Jiming Jiang, Debashis Paul, et al.
Medical Image Analysis|March 5, 2018
Estimating fiber orientation distribution from diffusion MRI with spherical needletsHao Yan, Owen Carmichael, Debashis Paul, et al.
Scientific Reports|February 11, 2022
Inference on the dynamics of COVID-19 in the United StatesSatarupa Bhattacharjee, Shuting Liao, Debashis Paul, et al.
Electronic Journal of Statistics|November 25, 2014
Diffusion tensor smoothing through weighted Karcher meansOwen Carmichael, Jun Chen, Debashis Paul, et al.
Annals of Statistics|October 18, 2014
MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY HIGH-DIMENSIONAL DATAAharon Birnbaum, Iain M Johnstone, Boaz Nadler, et al.
The Annals of Applied Statistics|November 6, 2019
A MULTI-RESOLUTION MODEL FOR NON-GAUSSIAN RANDOM FIELDS ON A SPHERE WITH APPLICATION TO IONOSPHERIC ELECTROSTATIC POTENTIALSMinjie Fan, Debashis Paul, Thomas C M Lee, et al.
The Annals of Applied Statistics|May 9, 2025
ESTIMATING FIBER ORIENTATION DISTRIBUTION WITH APPLICATION TO STUDY BRAIN LATERALIZATION USING HCP D-MRI DATASeungyong Hwang, Thomas C M Lee, Debashis Paul, et al.
Pageof 3