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Geophysical journal international, ISSN 1365-246X, 2006, Volume 165, Issue 3, pp. 913 - 930
SUMMARY Least‐squares linear regression is so popular that it is sometimes applied without checking whether its basic requirements are satisfied... 
orthogonal regression | magnitude conversion | statistical methods | seismology | Orthogonal regression | Statistical methods | Magnitude conversion | Seismology | GEOCHEMISTRY & GEOPHYSICS | EARTHQUAKE CATALOG | UNCERTAINTIES | SUBJECT | VARIABLES | NORTHERN | PARAMETERS | SEISMIC MOMENT
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 08/2015, Volume 63, Issue 15, pp. 3872 - 3887
Journal Article
Journal of computational and graphical statistics, ISSN 1061-8600, 2017, Volume 27, Issue 1, pp. 234 - 244
We study additive function-on-function regression where the mean response at a particular time point depends on the time point itself, as well as the entire covariate trajectory... 
Orthogonal projection | Penalized B-splines | Eigenbasis | Nonlinear models | Functional data analysis | Prediction | STATISTICS & PROBABILITY
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 12/2016, Volume 216, pp. 200 - 207
.... In order to preserve more local structure information, we propose a novel orthogonal least squares regression model for feature extraction in this paper... 
Unbalanced orthogonal procrustes problem | Feature extraction | Orthogonal constraint | Least squares regression | DIMENSIONALITY REDUCTION | EFFICIENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Signal processing | Algorithms | Data mining | Mathematical optimization | Analysis
Journal Article
International Journal of Systems Science, ISSN 0020-7721, 04/2015, Volume 46, Issue 5, pp. 776 - 789
Journal Article
Computer methods in applied mechanics and engineering, ISSN 0045-7825, 2018, Volume 341, pp. 807 - 826
...), and the Gaussian process regression (GPR) is used to approximate the projection coefficients. The GPR is carried out in the offline stage with active data selection... 
Gaussian process regression | Proper orthogonal decomposition | Nonlinear structural analysis | Reduced basis method | Machine learning | FUNCTIONAL REGRESSION | MATRIX | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | ENGINEERING, MULTIDISCIPLINARY | REDUCTION | INFORMATION | Models | Algorithms | Gaussian processes
Journal Article
Computers & chemical engineering, ISSN 0098-1354, 11/2018, Volume 119, pp. 101 - 111
....•Sparse regression to determine the structure of reduced-order model.•Successful application for the feedback control of hydraulic fracturing process... 
Model predictive control | Sparse regression | Hydraulic fracturing | Reduced-order model | LINEAR-SYSTEMS | PARABOLIC PDE SYSTEMS | ENGINEERING, CHEMICAL | TRANSPORT | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | REDUCTION | SHRINKAGE | REALIZATION | PROPER ORTHOGONAL DECOMPOSITION | Usage | Models | Oil wells | Analysis
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 04/2014, Volume 129, pp. 445 - 457
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 01/2018, Volume 275, pp. 2810 - 2823
Journal Article