20 resultados para large vector autoregression


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Over the years, several formalizations and existence results for games with a continuum of players have been given. These include those of Schmeidler (1973), Rashid (1983), Mas-Colell (1984), Khan and Sun (1999) and Podczeck (2007a). The level of generality of each of these existence results is typically regarded as a criterion to evaluate how appropriate is the corresponding formalization of large games. In contrast, we argue that such evaluation is pointless. In fact, we show that, in a precise sense, all the above existence results are equivalent. Thus, all of them are equally strong and therefore cannot rank the different formalizations of large games.

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Benefits of long-term monitoring have drawn considerable attention in healthcare. Since the acquired data provides an important source of information to clinicians and researchers, the choice for long-term monitoring studies has become frequent. However, long-term monitoring can result in massive datasets, which makes the analysis of the acquired biosignals a challenge. In this case, visualization, which is a key point in signal analysis, presents several limitations and the annotations handling in which some machine learning algorithms depend on, turn out to be a complex task. In order to overcome these problems a novel web-based application for biosignals visualization and annotation in a fast and user friendly way was developed. This was possible through the study and implementation of a visualization model. The main process of this model, the visualization process, comprised the constitution of the domain problem, the abstraction design, the development of a multilevel visualization and the study and choice of the visualization techniques that better communicate the information carried by the data. In a second process, the visual encoding variables were the study target. Finally, the improved interaction exploration techniques were implemented where the annotation handling stands out. Three case studies are presented and discussed and a usability study supports the reliability of the implemented work.

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Geographic information systems give us the possibility to analyze, produce, and edit geographic information. Furthermore, these systems fall short on the analysis and support of complex spatial problems. Therefore, when a spatial problem, like land use management, requires a multi-criteria perspective, multi-criteria decision analysis is placed into spatial decision support systems. The analytic hierarchy process is one of many multi-criteria decision analysis methods that can be used to support these complex problems. Using its capabilities we try to develop a spatial decision support system, to help land use management. Land use management can undertake a broad spectrum of spatial decision problems. The developed decision support system had to accept as input, various formats and types of data, raster or vector format, and the vector could be polygon line or point type. The support system was designed to perform its analysis for the Zambezi river Valley in Mozambique, the study area. The possible solutions for the emerging problems had to cover the entire region. This required the system to process large sets of data, and constantly adjust to new problems’ needs. The developed decision support system, is able to process thousands of alternatives using the analytical hierarchy process, and produce an output suitability map for the problems faced.

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This paper studies the main differences in accounting standards of the International Accounting Standards Board (IASB) between small and large companies, materialised in the dissimilarities between the International Financial Reporting Standard for Small and Medium-sized Entities and the full International Financial Reporting Standards, as of 2010. Another element of this project is the analysis of the reasons behind the differences between the two aforementioned frameworks, which intends to expose the rationale and the mindset that led to an adaptation of the full standards in a stand-alone document designed for small companies.

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The Financial Leverage of Large Portuguese Firms in the European Context This paper studies the leverage, cost of debt servicing ability and structure of debt maturity of large Portuguese firms, over the pre-crisis (2006-2009) and post-crisis (2010-2013) periods through a comparative analysis with other European peers. We document that large Portuguese firms have been reducing their leverage since the end of 2009. We find that this decrease in leverage is not a consequence higher Equity levels but rather a result of asset’s downsizing. We also document that Portuguese firms are still more leveraged than their European peers, even though this difference has decreased over time. High corporate debt levels are transversal across industries.