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Wikipedia inside : die Online-Enzyklopädie und ihre Community
Schuler, Günter - 2007
"Wikipedia inside" ist ein ansprechendes und spannendes Buch über das derzeit wohl interessanteste Internet-Projekt. Es … vermittelt dem Leser kompakt und durchaus auch unterhaltsam ein Bild über Wikipedia, die Arbeit dort und welche Fragen und … Perspektiven dort diskutiert werden. "Wikipedia inside" bemüht sich über die reine Information hinaus auch um Annäherung an jene …
Persistent link: https://www.econbiz.de/10003411529
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Die Wikipedia-Story : Biografie eines Weltwunders
Richter, Pavel - 2020
Niemand wurde zum Milliardär, Werbung gibt es nicht und doch gehört Wikipedia zu den Top 10 aller Websites. Die …. Ihre Entwicklung in Deutschland nahm auf ganz besondere Weise Fahrt auf. Wikipedia ist soziales Experiment, bedeutendes … faszinierender Begebenheiten und auch von einigen Skandalen, Fehlern, Fakes und legendären Editierkriegen. Wikipedia ist eines der …
Persistent link: https://www.econbiz.de/10012321947
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Computational Statistics (journal)
Härdle, Wolfgang; Morita, Yuichi; Symanzik, Jürgen - 2012
Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. In this article, we will discuss the motivation, history, some specialties, and the future scope of this journal. --...
Persistent link: https://www.econbiz.de/10009407026
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Computational Statistics (Journal)
Härdle, Wolfgang K. - 2017
Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. In this article, we will discuss the motivation, history, some specialties, and the future scope of this journal
Persistent link: https://www.econbiz.de/10012966322
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Solving, estimating and selecting nonlinear dynamic models without the curse of dimensionality
Winschel, Viktor; Krätzig, Markus - 2008
We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. The Smolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...
Persistent link: https://www.econbiz.de/10010263720
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The Empirical Performance of Option Based Densities of Foreign Exchange
Keller, Joachim G.; Craig, Ben R. - 2002
Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...
Persistent link: https://www.econbiz.de/10010295724
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Simulation-based valuation of project finance: does model complexity really matter?
Weber, Florian; Schmid, Thomas; Pietz, Matthäus; … - 2010
This paper analyzes the impact of model complexity on the net present value distribution and the expected default probability of equity investments in project finance. Model complexity is analyzed along two dimensions: simulation complexity and forecast complexity. We aim to identify model...
Persistent link: https://www.econbiz.de/10010305715
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Numerical solution of dynamic equilibrium models under Poisson uncertainty
Posch, Olaf; Trimborn, Timo - 2011
We propose a simple and powerful numerical algorithm to compute the transition process in continuous-time dynamic equilibrium models with rare events. In this paper we transform the dynamic system of stochastic differential equations into a system of functional differential equations of the...
Persistent link: https://www.econbiz.de/10010274762
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Computation of business-cycle models with the Generalized Schur Method
Heer, Burkhard; Maußner, Alfred - 2009
We describe an algorithm that is able to compute the solution of a singular linear difference system under rational expectations. The algorithm uses the Generalized Schur Factorization and is illustrated by a simple example.
Persistent link: https://www.econbiz.de/10010275804
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The effect of uncertainty on decision making about climate change mitigation: a numerical approach of stochastic control
Lontzek, Thomas S.; Narita, Daiju - 2009
We apply standardized numerical techniques of stochastic optimization (Judd [1998]) to the climate change issue. The model captures the feature that the effects of uncertainty are different with different levels of agent's risk aversion. A major finding is that the effects of stochasticity...
Persistent link: https://www.econbiz.de/10010277869