Results 41 to 50 of about 1,566,040 (193)
On Multivariate Ridge Regression [PDF]
Biometrika, 1987 A multivariate linear regression model with q responses as a linear function of p independent variables is considered with a \(p\times q\) parameter matrix B. The least-squares or normal-theory maximum likelihood estimate of B is deficient in that it takes no account of the `across regression' correlations, and ignores the Stein effect.
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Multivariate Adaptive Regression Splines (Mars) Untuk Klasifikasi Status Kerja Di Kabupaten Demak [PDF]
, 2014 Unemployment is one of the issues relating to economic activities, public relations and also the problems of humanity. Unemployment also occur in Demak and factors suspected as the cause of unemployment in Demak: gender, area of residence, age, status in
Ispriyanti, D. (Dwi) +2 more
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Orbital: The Electronic Journal of Chemistry, 2013 The aim this study was quantify the calorific power of 111 gasoline samples available at filling stations using near infrared spectroscopy in conjunction with the multivariate regression.
Janice Zulma Francesquett +4 more
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On Multivariate Median Regression [PDF]
Bernoulli, 1999 The author considers an extension of the concept of least absolute deviation regression for problems with multivariate response. The approach is based on a transformation and retransformation technique that chooses a data-driven coordinate system for transforming the response vectors and then retransform the estimate of the matrix of regression ...
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Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
, 2021 Random Forests (Breiman, 2001) is a successful and widely used regression and classification algorithm. Part of its appeal and reason for its versatility is its (implicit) construction of a kernel-type weighting function on training data, which can also ...
Bühlmann, Peter +4 more
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Journal of Statistical Software, 2016 Technological advances in molecular biology over the past decade have given rise to high dimensional and complex datasets offering the possibility to investigate biological associations between a range of genomic features and complex phenotypes.
Benoît Liquet +4 more
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Bayesian nonparametric multivariate convex regression [PDF]
, 2011 In many applications, such as economics, operations research and reinforcement learning, one often needs to estimate a multivariate regression function f subject to a convexity constraint.
Dunson, David B., Hannah, Lauren A.
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Multivariate Adaptive Regression Splines Modeling for Household Food Security in Central Borneo Province 2017 [PDF]
, 2019 This study aims to make a model household food security with social, economic and demographic variables in Central Borneo Province using nonparametric regression, Multivariate Adaptive Regression Splines (MARS).
Wibowo, A. (Ananto)
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AN ADAPTIVE METHOD FOR BUILDING A MULTIVARIATE REGRESSION
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технологіїWe propose an adaptive method for building a multivariate regression given by a weighted linear convolution of known scalar functions of deterministic input variables with unknown coefficients.
Alexander Pavlov +2 more
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Energies, 2020 The widespread availability of wind turbine operation data has considerably boosted the research and the applications for wind turbine monitoring. It is well established that a systematic misalignment of the wind turbine nacelle with respect to the wind ...
Davide Astolfi +4 more
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