Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Hristopulos, D."'
Autor:
Žukovič, M., Hristopulos, D. T.
Publikováno v:
Journal of Physics: Conference Series 633 (2015) 012105
We introduce a model inspired from statistical physics that is shown to display flexible short-range spatial correlations which are potentially useful in geostatistical modeling. In particular, we consider a suitably modified planar rotator or XY mod
Externí odkaz:
http://arxiv.org/abs/1504.03211
Autor:
Žukovič, M., Hristopulos, D. T.
Publikováno v:
Atmospheric Environment 42 (2008) 7669
In many environmental applications, time series are either incomplete or irregularly spaced. We investigate the application of the Spartan random process to missing data prediction. We employ a novel modified method of moments (MMoM) for parameter in
Externí odkaz:
http://arxiv.org/abs/1303.0654
Autor:
Zukovic, M., Hristopulos, D. T.
Publikováno v:
Physica A 387 3995 (2008)
A Spartan random process (SRP) is used to estimate the correlation structure of time series and to predict (extrapolate) the data values. SRP's are motivated from statistical physics, and they can be viewed as Ginzburg-Landau models. The temporal cor
Externí odkaz:
http://arxiv.org/abs/0709.3418
Autor:
Hristopulos, D. T., Elogne, S. N.
An explicit optimal linear spatial predictor is derived. The spatial correlations are imposed by means of Gibbs energy functionals with explicit coupling coefficients instead of covariance matrices. The model inference process is based on physically
Externí odkaz:
http://arxiv.org/abs/physics/0609071
Publikováno v:
European Physical Journal B - Condensed Matter Physics, 50(1-2), 83-87 (2006)
The evolution of grain structures in materials is a complex and multiscale process that determines the material's final properties. Understanding the dynamics of grain growth is a key factor for controlling this process. We propose a phenomenological
Externí odkaz:
http://arxiv.org/abs/cond-mat/0510244
Autor:
Hristopulos, D. T.
Publikováno v:
Physica A: Statistical Mechanics and its Applications, 365(1-2), 211-216 (2006)
The spatial structure of fluctuations in spatially inhomogeneous processes can be modeled in terms of Gibbs random fields. A local low energy estimator (LLEE) is proposed for the interpolation (prediction) of such processes at points where observatio
Externí odkaz:
http://arxiv.org/abs/physics/0510035
Akademický článek
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Akademický článek
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Autor:
Hristopulos, D., Mouslopoulou, V.
Publikováno v:
Proceedings
International conference on statistical physics#
International conference on statistical physics#
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::088fddbf440f4de26a8a9a63d984dc9b
http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:691907
http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:691907