Results 21 to 30 of about 150,136 (266)
IEEE Access, 2020 The estimation of the large and high-dimensional covariance matrix and precision matrix is a fundamental problem in modern multivariate analysis. It has been widely applied in economics, finance, biology, social networks and health sciences. However, the
Xin Yuan +3 more
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MODIFIED METHOD OF CONSTRUCTING A MULTIVARIATE LINEAR REGRESSION GIVEN BY A REDUNDANT DESCRIPTION
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2022 A number of scientific works of Prof. O. A. Pavlov and his disciples is devoted to the development of an original method of efficient estimation of coefficients at nonlinear terms of multivariate polynomial regression given by a redundant description ...
Alexander Pavlov, Maxim Holovchenko
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Model and distribution uncertainty in multivariate GARCH estimation: A Monte Carlo analysis [PDF]
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ROSSI, EDUARDO, Spazzini Filippo
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Some recent developments on functional data analysis* [PDF]
ESAIM: Proceedings and SurveysRecent contributions to functional data analysis are presented. Various problems are considered including the definition of the barycenter of multivariate functional data and the adaptive nonparametric estimation in the functional linear model with ...
Cugliari Jairo +3 more
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Analysis of methods for multivariable frequency response function estimation in closed loop [PDF]
2007 46th IEEE Conference on Decision and Control, 2007 Estimation methods for the multivariable frequency response function are analyzed, both in open and closed loop. Expressions for the bias and covariance are derived and the usefulness of these expressions is illustrated in simulations of an industrial robot where the different estimators are compared.
Wernholt, Erik, Gunnarsson, Svante
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Remote Sensing, 2019 Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be ...
Mohsen Mirzaei +4 more
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Bayesian Estimation in Multivariate Analysis
The Annals of Mathematical Statistics, 1965 Abstract : The Bayes approach to Multivariate Analysis taken previously by Geisser and Cornfield (JRSS Series B, 1963 No. 2, pp. 368-376) is extended and given a more comprehensive treatment. Posterior joint and marginal densities are derived for vector means, linear combinations of means; simple and partial variances; simple, partial and multiple ...
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Estimating within‐study covariances in multivariate meta‐analysis with multiple outcomes [PDF]
Statistics in Medicine, 2012 Multivariate meta‐analysis allows the joint synthesis of effect estimates based on multiple outcomes from multiple studies, accounting for the potential correlations among them. However, standard methods for multivariate meta‐analysis for multiple outcomes are restricted to problems where the within‐study correlation is known or where individual ...
Wei, Yinghui, Higgins, Julian Pt
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Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes
IEEE AccessMultivariate spatio-temporal point patterns have become increasingly common due to the advancement of technology for massive data collection. Parameter estimation is vital for understanding the distributional patterns within such data.
Achmad Choiruddin +4 more
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Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative [PDF]
Royal Society Open Science, 2020 Leaf nitrogen concentration (LNC) is a major indicator in the estimation of the crop growth status which has been diffusely applied in remote sensing. Thus, it is important to accurately obtain LNC by using passive or active technology.
Jian Yang +4 more
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