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02.50.Ng Distribution theory and Monte Carlo studies 4 02.50.-r Probability theory 2 Distribution theory and Monte Carlo studies 2 Stochastic processes 2 and statistics 2 business and management 2 financial markets 2 stochastic processes 2 02.50.Ey 1 02.50.Ey Stochastic processes 1 02.50.Ng 1 02.50.Tt Inference methods 1 02.60.Ed Interpolation 1 05.45.Xt Synchronization 1 05.70.Np Interface and surface thermodynamics 1 64.60.Ht Dynamic critical phenomena 1 82.40.Bj Oscillations 1 87.23.Cc Population dynamics and ecological pattern formation 1 89.65.Gh Economics 1 89.75.Fb 1 89.75.Kd 1 Economics 1 Econophysics 1 Kinetic theory 1 Patterns 1 Structures and organization in complex systems 1 and bifurcations 1 chaos 1 coupled oscillators 1 curve fitting 1 econophysics 1
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Chakrabarti, Anindya S. 1 Chakrabarti, Bikas K. 1 Clementi, F. 1 Coninck, J. De 1 Dunlop, F. 1 Ferraro, Mario 1 Gallegati, M. 1 Huillet, T. 1 Kaniadakis, G. 1 Kouvaris, N. 1 Luchinsky, D. 1 McClintock, P. 1 Millonas, M. 1 Provata, A. 1 Smelyanskiy, V. 1 Zaninetti, Lorenzo 1
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The European Physical Journal B - Condensed Matter and Complex Systems 4 Physica A: Statistical Mechanics and its Applications 2
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RePEc 6
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On the statistics of area size in two-dimensional thick Voronoi diagrams
Ferraro, Mario; Zaninetti, Lorenzo - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 20, pp. 4575-4582
Cells of Voronoi diagrams in two dimensions are usually considered as having edges of zero width. However, this is not the case in several experimental situations in which the thickness of the edges of the cells is relatively large. In this paper, the concept of a thick Voronoi tessellation,...
Persistent link: https://www.econbiz.de/10010589967
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Microeconomics of the ideal gas like market models
Chakrabarti, Anindya S.; Chakrabarti, Bikas K. - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 19, pp. 4151-4158
We develop a framework based on microeconomic theory from which the ideal gas like market models can be addressed. A kinetic exchange model based on that framework is proposed and its distributional features have been studied by considering its moments. Next, we derive the moments of the CC...
Persistent link: https://www.econbiz.de/10010591825
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Synchronization, stickiness effects and intermittent oscillations in coupled nonlinear stochastic networks
Kouvaris, N.; Provata, A. - In: The European Physical Journal B - Condensed Matter and … 70 (2009) 4, pp. 535-541
Persistent link: https://www.econbiz.de/10009281248
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Dynamical inference of hidden biological populations
Luchinsky, D.; Smelyanskiy, V.; Millonas, M.; McClintock, P. - In: The European Physical Journal B - Condensed Matter and … 65 (2008) 3, pp. 369-377
Persistent link: https://www.econbiz.de/10009280917
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κ-generalized statistics in personal income distribution
Clementi, F.; Gallegati, M.; Kaniadakis, G. - In: The European Physical Journal B - Condensed Matter and … 57 (2007) 2, pp. 187-193
Starting from the generalized exponential function <InlineEquation ID="Equ1"> <EquationSource Format="TEX">$\exp_{\kappa}(x)=(\sqrt{1+\kappa^{2}x^{2}}+\kappa x)^{1/\kappa}$</EquationSource> </InlineEquation>, with exp <Subscript>0</Subscript>(x)=exp (x), proposed in reference [G. Kaniadakis, Physica A <Emphasis Type="Bold">296, 405 (2001)], the survival function P<Subscript></Subscript>(x)=exp <Subscript>κ</Subscript>(-βx<Superscript>α</Superscript>), where x∈R<Superscript>+</Superscript>, α,β0, and <InlineEquation ID="Equ2"> <EquationSource Format="TEX">$\kappa\in[0,1)$</EquationSource>...</equationsource></inlineequation></superscript></superscript></subscript></subscript></emphasis></subscript></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10009282534
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Correlations of a bound interface over a random substrate
Coninck, J. De; Dunlop, F.; Huillet, T. - In: The European Physical Journal B - Condensed Matter and … 54 (2006) 3, pp. 341-344
The correlation function of a one-dimensional interface over a random substrate, bound to the substrate by a pressure term, is studied by Monte-Carlo simulation. It is found that the height correlation 〈h<Subscript>i</Subscript>;h<Subscript>i+j</Subscript> 〉, averaged over the substrate disorder, fits a form $ae^{-(j/b)^c}$ to a...</subscript></subscript>
Persistent link: https://www.econbiz.de/10009280172
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