Similar Papers

Paper Title
Journal
Date
Author
Covariance matrix testing in high dimension using random projections
Deepak Nag Ayyala ... Daniel F Linder
Computational Statistics | VOL. 37
Deepak Nag Ayyala, et. al.Deepak Nag Ayyala ... Daniel F Linder
06 Nov 2021
A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance
Cheng Huang ... Xiaoming Huo
Frontiers in Applied Mathematics and Statistics | VOL. 7
Cheng Huang, et. al.Cheng Huang ... Xiaoming Huo
13 Jan 2022
Random projections in reducing the dimensionality of climate simulation data
Teija Seitola ... Heikki Järvinen
Tellus A: Dynamic Meteorology and Oceanography | VOL. 66
Teija Seitola, et. al.Teija Seitola ... Heikki Järvinen
01 Dec 2014
A data-scalable randomized misfit approach for solving large-scale PDE-constrained inverse problems
E B Le ... Q P Nguyen
Inverse Problems | VOL. 33
E B Le, et. al.E B Le ... Q P Nguyen
08 May 2017
View more papers

More From: Computational Statistics & Data Analysis

Paper Title
Journal
Date
Author
Component Selection and Variable Selection for Mixture Regression Models
Xuefei Qi ... Heng Peng
Computational Statistics & Data Analysis | VOL. 206
Xuefei Qi, et. al.Xuefei Qi ... Heng Peng
01 Jan 2025
An Efficient and Distribution-Free Symmetry Test for High-Dimensional Data Based on Energy Statistics and Random Projections
Bo Chen ... Tao Qiu
Computational Statistics & Data Analysis | VOL. -
Bo Chen, et. al.Bo Chen ... Tao Qiu
01 Jan 2025
Mean Shift-Based Clustering for Misaligned Functional Data
Andrew Welbaum ... Wanli Qiao
Computational Statistics & Data Analysis | VOL. -
Andrew Welbaum, et. al.Andrew Welbaum ... Wanli Qiao
01 Jan 2025
Sparse Vertex Discriminant Analysis: Variable Selection for Biomedical Classification Applications
Alfonso Landeros ... Kenneth Lange
Computational Statistics & Data Analysis | VOL. -
Alfonso Landeros, et. al.Alfonso Landeros ... Kenneth Lange
01 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.