Searched for: subject%3A%22Stochastic%255C+Simulation%22
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Herben, Bjarne (author)
The breadth of theoretical results on efficient Markov Chain Monte Carlo (MCMC) sampling schemes on discrete spaces is slim when compared to the available theory for MCMC sampling schemes on continuous spaces. Nonetheless, in [Zan17] a simple framework to design Metropolis-Hastings (MH) proposal kernels that incorporate local information about...
bachelor thesis 2022
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Pouliasis, George (author), Torres Alves, G.A. (author), Morales Napoles, O. (author)
The generation of synthetic time series is important in contemporary water sciences for their wide applicability and ability to model environmental uncertainty. Hydroclimatic variables often exhibit highly skewed distributions, intermittency (that is, alternating dry and wet intervals), and spatial and temporal dependencies that pose a...
journal article 2021
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Buchner, A.J.L.L. (author), Muller, K. (author), Mehmood, J. (author), Tam, D.S.W. (author)
The accumulation of motile cells at solid interfaces increases the rate of surface encounters and the likelihood of surface attachment, leading to surface colonization and biofilm formation. The cell density distribution in the vicinity of a physical boundary is influenced by the interactions between the microswimmers and their physical...
journal article 2021
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Shah, M.S. (author)
Thin liquid films are fluid structures with perpendicular length scale, typically of the O(< 10 μm), being much smaller than the lateral length scale, typically of the O(> 1 mm). From foams and emulsions to tear films on eyes, they widely occur in industrial processes and natural phenomena. Depending on the wetting energies between its...
doctoral thesis 2020
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Roitero, Kevin (author), Brunello, Andrea (author), Urbano, Julián (author), Mizzaro, Stefano (author)
Recently proposed methods allow the generation of simulated scores representing the values of an effectiveness metric, but they do not investigate the generation of the actual lists of retrieved documents. In this paper we address this limitation: we present an approach that exploits an evolutionary algorithm and, given a metric score,...
conference paper 2019
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Liu, Q. (author)
Spreading phenomena such as spreading of diseases, information and computer viruses are ubiquitous in nature and man-made systems, but the understanding of them is still insufficient. This dissertation focuses on the analysis of a basic mathematical model of spreading phenomena running on underlying network structures and aims to complete the...
doctoral thesis 2019
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Ashirgade, Shriram (author)
Processes occurring in the near-shore region operates on a small spatial and temporal scale. Simulations of these processes have long posed challenges for computational science, and to have accurate representations require a higher resolution. This results in computationally expensive models. This project aimed to investigate the possibility of...
master thesis 2019
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Corstanje, Marc (author)
When data in higher dimensions with a certain constraint on it, say a set of locations on a sphere, is encountered, some classical statistical analysis methods fail, as the data no longer assumes its values in a linear space. In this thesis we consider such datasets and aim to do likelihood-based inference on the center of the data. To model the...
master thesis 2019
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Ottjes, J.A. (author)
conference paper 2010
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Bierbooms, W.A.A.M. (author), Peeringa, J. (author)
Up to now just deterministic gust shapes are specified in standards; e.g. the Extreme Operating Gust (IEC) is given by a Mexican hat like shape. In this paper gust shapes will be determined by application of so-called constrained stochastic simulation. This method specifies how to efficiently generate time series around some specific event (e.g....
conference paper 2009
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Bierbooms, W.A.A.M. (author)
The method of so-called constrained stochastic simulation is introduced. This method specifies how to efficiently generate time series around some specific event in a normal process. All events which can be expressed by means of a linear condition (constraint) can be dealt with. Two examples are given in the paper: the generation of stochastic...
journal article 2005
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