Results 11 to 20 of about 716,617 (262)
A Generic Approach to Covariance Function Estimation Using ARMA-Models
Mathematics, 2020 Covariance function modeling is an essential part of stochastic methodology. Many processes in geodetic applications have rather complex, often oscillating covariance functions, where it is difficult to find corresponding analytical functions for ...
Till Schubert +3 more
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SL(n) covariant function-valued valuations [PDF]
Advances in Mathematics, 2021 Classifications of $\rm{SL}(n)$ covariant function-valued valuations are established with some assumptions of continuity. New valuations, for example, weighted moment functions, are introduced and our classifications give unified characterizations of the Laplace transform on convex bodies, $L_p$ moment bodies, $L_p$ difference bodies, and polar $L_p ...
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Analysis of Dynamic Parameters of a Railway Bridge
Applied Sciences, 2019 This article analyses the dispersion of vibration accelerations of a railway bridge during the passage of a train, and presents an analysis of their parameters after the application of the theory of covariance functions.
Artūras Kilikevičius +3 more
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Conformal covariant correlation functions
Nuclear Physics B, 1972 The general constraints of “full conformal symmetry”, on n-point correlation functions are discussed. An identity for the three-point correlation function is derived from conformal symmetry, which allows to derive an integral representation for any “irreducible” conformal graph.
S.FERRARA, G.PARISI
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Bivariate covariance functions of Pólya type
Journal of Multivariate Analysis, 2023 We provide sufficient conditions of Pólya type which guarantee the positive definiteness of a $2\times 2$-matrix-valued function in $\mathbb{R}$ and $\mathbb{R}^3$. Several bivariate covariance models have been proposed in literature, where all components of the covariance matrix are of the same parametric family, such as the bivariate Matérn model ...
Olga Moreva, Martin Schlather
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Means and covariance functions for geostatistical compositional data: an axiomatic approach [PDF]
, 2017 This work focuses on the characterization of the central tendency of a sample of compositional data. It provides new results about theoretical properties of means and covariance functions for compositional data, with an axiomatic perspective.
A Kolmogorov +29 more
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Revista Brasileira de Zootecnia, 2005 Foram estimados valores genéticos para as produções de leite no dia do controle de animais da raça Caracu, usando modelo unicaracterístico padrão (TDMO) e modelo de regressão aleatória (MRA).
Lenira El Faro +1 more
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Entropy, 2020 Based on the application of the conditional mean rule, a sampling-recovery algorithm is studied for a Gaussian two-dimensional process. The components of such a process are the input and output processes of an arbitrary linear system, which are ...
Vladimir Kazakov +2 more
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On Time Correlations for KPZ Growth in One Dimension [PDF]
, 2016 Time correlations for KPZ growth in 1+1 dimensions are reconsidered. We discuss flat, curved, and stationary initial conditions and are interested in the covariance of the height as a function of time at a fixed point on the substrate.
Ferrari, Patrik L., Spohn, Herbert
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Asymptotic normality of the residual correlogram in the continuous-time nonlinear regression model
Modern Stochastics: Theory and Applications, 2020 In a continuous time nonlinear regression model the residual correlogram is considered as an estimator of the stationary Gaussian random noise covariance function.
Alexander Ivanov, Kateryna Moskvychova
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