Results 11 to 20 of about 1,566,040 (193)
Sparse multivariate factor regression [PDF]
2016 IEEE Statistical Signal Processing Workshop (SSP), 2016 We consider the problem of multivariate regression in a setting where the relevant predictors could be shared among different responses. We propose an algorithm which decomposes the coefficient matrix into the product of a long matrix and a wide matrix, with an elastic net penalty on the former and an $\ell_1$ penalty on the latter.
Kharratzadeh, Milad, Coates, Mark
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Low rank multivariate regression [PDF]
Electronic Journal of Statistics, 2011 We consider in this paper the multivariate regression problem, when the target regression matrix $A$ is close to a low rank matrix. Our primary interest in on the practical case where the variance of the noise is unknown. Our main contribution is to propose in this setting a criterion to select among a family of low rank estimators and prove a non ...
Giraud, Christophe
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Chemosensory Profile of South Tyrolean Pinot Blanc Wines: A Multivariate Regression Approach [PDF]
Molecules, 2021 A multivariate regression approach based on sensory data and chemical compositions has been applied to study the correlation between the sensory and chemical properties of Pinot Blanc wines from South Tyrol.
Simone Poggesi +7 more
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Multivariate Regression Analysis Identifying Predictors of Patient Satisfaction with Multifocal IOLs: +4.00/+4.00 vs +3.25/+3.25 vs +3.25/EDOF [PDF]
Clinical Ophthalmology, 2020 Frank A Bucci Jr Bucci Laser Vision, Institute Wilkes-Barre, Wilkes-Barre, PA, USACorrespondence: Frank A Bucci JrBucci Laser Vision Institute, 158 Wilkes-Barre Township Blvd., Wilkes-Barre, PA 18702, USAEmail buccivision@aol.comPurpose: To detect and ...
Bucci FA Jr
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Multivariate Regression Forest for Categorical Attribute Data [PDF]
Jisuanji kexue, 2022 As categorical attributes cannot be utilized directly in some regression models like the linear regression,SVR and most multivariate regression trees,a multivariate split method dealing with multiple types of data is prompted in this paper.We define the ...
LIU Zhen-yu, SONG Xiao-ying
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 Population poverty is one of the serious problems in Indonesia. The percentage of population poverty used as a means for a statistical instrument to be guidelines to create standard policies and evaluations to reduce poverty. The aims of the research are
Ria Dhea Layla Nur Karisma +2 more
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PLoS ONE, 2023 Wind turbine power curve (WTPC) serves as an important tool for wind turbine condition monitoring and wind power forecasting. Due to complex environmental factors and technical issues of the wind turbines, there are many outliers and inconsistencies ...
Khurram Mushtaq +6 more
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Multivariate or Multivariable Regression? [PDF]
American Journal of Public Health, 2013 The terms multivariate and multivariable are often used interchangeably in the public health literature. However, these terms actually represent 2 very distinct types of analyses. We define the 2 types of analysis and assess the prevalence of use of the statistical term multivariate in a 1-year span of articles published in the American Journal of ...
Bertha, Hidalgo, Melody, Goodman
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Multivariate Regression Depth [PDF]
Discrete & Computational Geometry, 2000 The regression depth of a hyperplane with respect to a set of n points in R^d is the minimum number of points the hyperplane must pass through in a rotation to vertical. We generalize hyperplane regression depth to k-flats for any k between 0 and d-1. The k=0 case gives the classical notion of center points.
Bern, Marshall, Eppstein, David
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Relationship Between Geomorphic Factors and Parameters with Sediment in Rostamabad Watershed of Ilam Province [PDF]
پژوهشهای آبخیزداری, 2022 Analysis of statistical relationships and quantitative factors and parameters affecting the production of sediment and soil loss is one of the problems of the watershed.
Shamsollah Asgari +2 more
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