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  • Search: subject:"Random systems"
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Subject
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Random systems 16 random systems with complete connections 4 Anderson localization 2 Diffusion 2 Phase diagram 2 Stochastic difference equation 2 interacting Markov processes 2 mean-field models 2 stochastic games 2 stochastic stability 2 Anomalous fluctuations 1 Approximate PDF solution 1 Brownian motion 1 Börsenkurs 1 Central Limit Theorem 1 China 1 Choatic systems 1 Coloring 1 Complex systems 1 Correlation functions 1 Deep information 1 Determinantal 1 Diffusion fronts 1 Experimental chaos 1 FPK equation 1 Fluctuations 1 Graph theory 1 Ground state calculation 1 Hurst exponent 1 Images 1 Interfaces 1 Limited observations 1 Local information 1 Metastable states 1 Nichtparametrisches Verfahren 1 Non-random systems 1 Nucleation 1 Order parameters 1 Phase transitions 1 Probability density function 1
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Online availability
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Undetermined 15 Free 6
Type of publication
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Article 15 Book / Working Paper 6
Type of publication (narrower categories)
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Working Paper 3
Language
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Undetermined 17 English 4
Author
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Horst, Ulrich 4 Härdle, Wolfgang Karl 2 Kuzovkov, V.N. 2 Li, Feng 2 Lin, Lu 2 Zhu, Lixing 2 von Niessen, W. 2 Albano, Ezequiel V 1 Alvarez-Ramirez, Jose 1 Beltrán del Río, M. 1 Chappa, Verónica C 1 Cocho, G. 1 Colbaugh, Richard 1 Dunlop, François 1 Echeverria, Juan C. 1 Er, Guo-Kang 1 Ermakov, G.V. 1 Fontanari, J.F. 1 Glass, Kristin 1 González, J.A 1 Guerrero, L.E 1 Gutiérrez, G 1 Hartmann, Alexander K. 1 Huillet, Thierry 1 Korsnes, Reinert 1 LaViolette, Randall A. 1 Makeev, Maxim A. 1 Mansilla, R. 1 Nogueira, E. 1 Parisi, Giorgio 1 Parshakova, M.A. 1 Reyes, L.I 1 Rodriguez, Eduardo 1 Suárez, J.J 1 de Coninck, Joël 1
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Institution
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Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät 2 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Physica A: Statistical Mechanics and its Applications 15 SFB 373 Discussion Paper 2 SFB 373 Discussion Papers 2 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1
Source
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RePEc 18 EconStor 3
Showing 1 - 10 of 21
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Mean Volatility Regressions
Lin, Lu; Li, Feng; Zhu, Lixing; Härdle, Wolfgang Karl - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2011
Motivated by increment process modeling for two correlated random and non-random systems from a discrete-time asset …
Persistent link: https://www.econbiz.de/10008776047
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Mean volatility regressions
Lin, Lu; Li, Feng; Zhu, Lixing; Härdle, Wolfgang Karl - 2010
Motivated by increment process modeling for two correlated random and non-random systems from a discrete-time asset …
Persistent link: https://www.econbiz.de/10010281538
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General model of subtraction of stochastic variables. Attractor and stability analysis
Beltrán del Río, M.; Cocho, G.; Mansilla, R. - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 2, pp. 154-160
We introduce a general process designed to model stochastic systems in which the dependence of random variables is not through addition only but combined addition and subtraction with bounded ranges, and whose probabilistic factors have compact support. We show that, still retaining much of the...
Persistent link: https://www.econbiz.de/10011060476
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Stability of linear stochastic difference equations in controlled random environments
Horst, Ulrich - 2002
We consider the stochastic sequence {Yi}t E N defined recursively by the linear relation Yt+l = AtYt + Bt in a random environment. The environment is described by the stochastic process {(At, Bt ) }t E N and is under the simultaneous control of several agents playing a discounted stochastic...
Persistent link: https://www.econbiz.de/10010310574
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Stability of linear stochastic difference equations in controlled random environments
Horst, Ulrich - Sonderforschungsbereich 373, Quantifikation und … - 2002
We consider the stochastic sequence {Yi}t E N defined recursively by the linear relation Yt+l = AtYt + Bt in a random environment. The environment is described by the stochastic process {(At, Bt ) }t E N and is under the simultaneous control of several agents playing a discounted stochastic...
Persistent link: https://www.econbiz.de/10010956569
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Rapid self-organised initiation of ad hoc sensor networks close above the percolation threshold
Korsnes, Reinert - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 14, pp. 2841-2848
This work shows potentials for rapid self-organisation of sensor networks where nodes collaborate to relay messages to a common data collecting unit (sink node). The study problem is, in the sense of graph theory, to find a shortest path tree spanning a weighted graph. This is a well-studied...
Persistent link: https://www.econbiz.de/10010590518
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Deep information from limited observation of robust yet fragile systems
LaViolette, Randall A.; Glass, Kristin; Colbaugh, Richard - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 17, pp. 3283-3287
We show how one can completely reconstruct even moderately optimized configurations of the Forest Fire model with relatively few observations. We discuss the relationship between the deep information from limited observations (DILO) to the robust-yet-fragile (RYF) property of the Forest Fire...
Persistent link: https://www.econbiz.de/10010872362
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Ergodic fluctuations in a stock market model with interacting agents: The mean field case
Horst, Ulrich - 1999
We consider a financial market model with interacting agents and study the long run behaviour of both aggregate behaviour and equilibrium prices. Investors are heterogeneous in their price expectations and they get stochastic signals about the mood of the market described by the empirical...
Persistent link: https://www.econbiz.de/10010310029
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Ergodic fluctuations in a stock market model with interacting agents: The mean field case
Horst, Ulrich - Sonderforschungsbereich 373, Quantifikation und … - 1999
We consider a financial market model with interacting agents and study the long run behaviour of both aggregate behaviour and equilibrium prices. Investors are heterogeneous in their price expectations and they get stochastic signals about the mood of the market described by the empirical...
Persistent link: https://www.econbiz.de/10010956417
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Performance of a high-dimensional R/S method for Hurst exponent estimation
Alvarez-Ramirez, Jose; Echeverria, Juan C.; Rodriguez, … - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 26, pp. 6452-6462
An extension of the R/S method to estimate the Hurst exponent of high-dimensional fractals is proposed. The method’s performance was adequate when tested with synthetic surfaces having different preset Hurst exponent values and different array sizes. The two-dimensional R/S analysis is used to...
Persistent link: https://www.econbiz.de/10010588418
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