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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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Variable Selection and Inference for Multi-Period Forecasting Problems [PDF]
, 2009 This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models.
Pesaran, Mohammad Hashem +2 more
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Simulated Maximum Likelihood for Double-Bounded Referendum Models
Journal of Agricultural and Resource Economics, 2001 Although joint estimation of referendum-type contingent value (CV) survey responses using maximum-likelihood models is preferred to single-equation estimation, it has been largely disregarded because estimation involves evaluating multivariate normal ...
Mary C. Riddel
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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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Inference for High-dimensional Differential Correlation Matrices [PDF]
, 2015 Motivated by differential co-expression analysis in genomics, we consider in this paper estimation and testing of high-dimensional differential correlation matrices.
Cai, T. Tony, Zhang, Anru
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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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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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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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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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