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Nonparametric Bayesian Modeling and Estimation of Spatial Correlation Functions for Global Data
(INT SOC BAYESIAN ANALYSIS, 2021)
We provide a nonparametric spectral approach to the modeling of correlation functions on spheres. The sequence of Schoenberg coefficients and their associated covariance functions are treated as random rather than assuming ...
Fully differential cross sections in single ionization of helium by ion impact: Assessing the role of correlated wave functions
(Elsevier Science, 2008-02)
We study the effect of final state dynamic correlation in single ionization of atoms by ion impact analyzing fully differential cross sections (FDCS). We use a distorted wave model where the final state is represented by ...
A correlation‐energy functional from a correlation‐factor model
(1994)
In this work, a way to approximate the correlation energy functional starting from a model correlation factor is shown. The problem is addressed by using formally exact properties of the second‐order density matrix and ...
Effects of fluctuations on correlation functions in inhomogeneous mixtures
(National Academy of Sciences of Ukraine, 2020-02)
Approximate expressions for correlation functions in binary inhomogeneous mixtures are derived in a framework of the mesoscopic theory [Ciach A., Mol. Phys., 2011, 109, 1101]. Fluctuation contribution is taken into account ...
Quantum Monte Carlo study of the itinerant-localized model of strongly correlated electrons: spin-spin correlation functions
(American Physical Society, 2016-12-06)
We perform quantum Monte Carlo simulations of the itinerant-localized periodic Kondo-Heisenberg model for the underdoped cuprates to calculate the associated spin correlation functions. The strong electron correlations are ...
Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models
(AMER DAIRY SCIENCE ASSOC-ADSA, 2009)
The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental ...
Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models
(Amer Dairy Science Assoc-adsa, 2009-09-01)
The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental ...