Results 31 to 40 of about 1,566,040 (193)
Sparse Multivariate Gaussian Mixture Regression [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2015 Fitting a multivariate Gaussian mixture to data represents an attractive, as well as challenging problem, in especial when sparsity in the solution is demanded. Achieving this objective requires the concurrent update of all parameters (weight, centers, and precisions) of all multivariate Gaussian functions during the learning process. Such is the focus
Weruaga Prieto, Luis +1 more
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On empirical Bayes estimation of multivariate regression coefficient
International Journal of Mathematics and Mathematical Sciences, 2006 We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y=Xβ+ε, where Y is an m-vector of observations, X is a known m×k matrix, β is
R. J. Karunamuni, L. Wei
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Nonparametric Regression Estimation for Multivariate Null Recurrent Processes
Econometrics, 2015 This paper discusses nonparametric kernel regression with the regressor being a \(d\)-dimensional \(\beta\)-null recurrent process in presence of conditional heteroscedasticity. We show that the mean function estimator is consistent with convergence rate
Biqing Cai, Dag Tjøstheim
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Learning Timbre Analogies from Unlabelled Data by Multivariate Tree Regression [PDF]
, 2011 This is the Author's Original Manuscript of an article whose final and definitive form, the Version of Record, has been published in the Journal of New Music Research, November 2011, copyright Taylor & Francis.
Aucouturier J.-J. +7 more
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IEEE Access, 2019 In consideration of the financial indicators of financial structure, solvency, operating ability, profitability, and cash flow as well as the non-financial indicators of firm size and corporate governance, the algorithms of multivariate adaptive ...
Yuh-Jen Chen +3 more
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Confidence Corridors for Multivariate Generalized Quantile Regression [PDF]
, 2014 We focus on the construction of confidence corridors for multivariate nonparametric generalized quantile regression functions. This construction is based on asymptotic results for the maximal deviation between a suitable nonparametric estimator and the ...
Chao, Shih-Kang +3 more
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Energies, 2018 In order to improve the accuracy of wind power prediction (WPP), we propose a WPP based on multivariate phase space reconstruction (MPSR) and multivariate linear regression (MLR).
Rongsheng Liu +2 more
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Regional Frequency Analysis of Low Flow in Parts of the Northern Karun River Basin in Chaharmahal and Bakhtiari Province [PDF]
محیط زیست و مهندسی آب, 2019 Hydrological droughts reduce groundwater and surface water, lakes and rivers. The purpose of the present study was to analyze the minimum regional flow frequency in parts of the northern Karun basin in Chaharmahal and Bakhtiari province. For this purpose,
Afshin Honarbakhsh +3 more
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E-Jurnal Matematika, 2014 This essay aimed to apply the Multivariate Multiple Regression (MMR) methodfor the welfare issue. The predictor variables in the model are 18 indicators of welfare according to Indonesian Central Bureau of Statistic (BPS) and the response variables are ...
PUTU EKA SWASTINI +2 more
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Variable screening in multivariate linear regression with high-dimensional covariates
Statistical Theory and Related Fields, 2022 We propose two variable selection methods in multivariate linear regression with high-dimensional covariates. The first method uses a multiple correlation coefficient to fast reduce the dimension of the relevant predictors to a moderate or low level. The
Shiferaw B. Bizuayehu, Lu Li, Jin Xu
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