Refine
Year of publication
- 2010 (42) (remove)
Document Type
- Monograph/Edited Volume (42) (remove)
Language
- English (42) (remove)
Keywords
- Akan (1)
- Aktienmarkt (1)
- Antipersistence (1)
- Arbeitsethik (1)
- Armed Conflicts (1)
- Aspektorientierte Softwareentwicklung (1)
- Asynchrone Schaltung (1)
- Asynchronous circuit (1)
- Aufgabenerfüllung (1)
- Betriebssysteme (1)
Institute
- Hasso-Plattner-Institut für Digital Engineering gGmbH (9)
- Institut für Informatik und Computational Science (7)
- Wirtschaftswissenschaften (7)
- Extern (3)
- Institut für Anglistik und Amerikanistik (2)
- Institut für Germanistik (2)
- Institut für Künste und Medien (2)
- Institut für Mathematik (2)
- Philosophische Fakultät (2)
- Sonderforschungsbereich 632 - Informationsstruktur (2)
Persistence of stock returns is an extensively studied and discussed theme in the analysis of financial markets. Antipersistence is usually attributed to volatilities. However, not only volatilities but also stock returns can exhibit antipersistence. Antipersistent noise has a somewhat rougher appearance than Gaussian noise. Heuristically spoken, price movements are more likely followed by movements in the opposite direction than in the same direction. The pertaining integrated process exhibits a smaller range – prices seem to stay in the vicinity of the initial value. We apply a widely used test based upon the modified R/S-Method by Lo [1991] to daily returns of 21 German stocks from 1960 to 2008. Combining this test with the concept of moving windows by Carbone et al. [2004], we are able to determine periods of antipersistence for some of the series under examination. Our results suggest that antipersistence can be found for stocks and periods where extraordinary corporate actions such as mergers & acquisitions or financial distress are present. These effects should be properly accounted for when choosing and designing models for inference.
In reading, word frequency is commonly regarded as the major bottom-up determinant for the speed of lexical access. Moreover, language processing depends on top-down information, such as the predictability of a word from a previous context. Yet, however, the exact role of top-down predictions in visual word recognition is poorly understood: They may rapidly affect lexical processes, or alternatively, influence only late post-lexical stages. To add evidence about the nature of top-down processes and their relation to bottom-up information in the timeline of word recognition, we examined influences of frequency and predictability on event-related potentials (ERPs) in several sentence reading studies. The results were related to eye movements from natural reading as well as to models of word recognition. As a first and major finding, interactions of frequency and predictability on ERP amplitudes consistently revealed top-down influences on lexical levels of word processing (Chapters 2 and 4). Second, frequency and predictability mediated relations between N400 amplitudes and fixation durations, pointing to their sensitivity to a common stage of word recognition; further, larger N400 amplitudes entailed longer fixation durations on the next word, a result providing evidence for ongoing processing beyond a fixation (Chapter 3). Third, influences of presentation rate on ERP frequency and predictability effects demonstrated that the time available for word processing critically co-determines the course of bottom-up and top-down influences (Chapter 4). Fourth, at a near-normal reading speed, an early predictability effect suggested the rapid comparison of top-down hypotheses with the actual visual input (Chapter 5). The present results are compatible with interactive models of word recognition assuming that early lexical processes depend on the concerted impact of bottom-up and top-down information. We offered a framework that reconciles the findings on a timeline of word recognition taking into account influences of frequency, predictability, and presentation rate (Chapter 4).
Business process management aims at capturing, understanding, and improving work in organizations. The central artifacts are process models, which serve different purposes. Detailed process models are used to analyze concrete working procedures, while high-level models show, for instance, handovers between departments. To provide different views on process models, business process model abstraction has emerged. While several approaches have been proposed, a number of abstraction use case that are both relevant for industry and scientifically challenging are yet to be addressed. In this paper we systematically develop, classify, and consolidate different use cases for business process model abstraction. The reported work is based on a study with BPM users in the health insurance sector and validated with a BPM consultancy company and a large BPM vendor. The identified fifteen abstraction use cases reflect the industry demand. The related work on business process model abstraction is evaluated against the use cases, which leads to a research agenda.
Data obtained from foreign data sources often come with only superficial structural information, such as relation names and attribute names. Other types of metadata that are important for effective integration and meaningful querying of such data sets are missing. In particular, relationships among attributes, such as foreign keys, are crucial metadata for understanding the structure of an unknown database. The discovery of such relationships is difficult, because in principle for each pair of attributes in the database each pair of data values must be compared. A precondition for a foreign key is an inclusion dependency (IND) between the key and the foreign key attributes. We present with Spider an algorithm that efficiently finds all INDs in a given relational database. It leverages the sorting facilities of DBMS but performs the actual comparisons outside of the database to save computation. Spider analyzes very large databases up to an order of magnitude faster than previous approaches. We also evaluate in detail the effectiveness of several heuristics to reduce the number of necessary comparisons. Furthermore, we generalize Spider to find composite INDs covering multiple attributes, and partial INDs, which are true INDs for all but a certain number of values. This last type is particularly relevant when integrating dirty data as is often the case in the life sciences domain - our driving motivation.
Estimation and testing the effect of covariates in accelerated life time models under censoring
(2010)
Estimation and testing the effect of covariates in accelerated life time models under censoring
(2010)
The accelerated lifetime model is considered. To test the influence of the covariate we transform the model in a regression model. Since censoring is allowed this approach leads to a goodness-of-fit problem for regression functions under censoring. So nonparametric estimation of regression functions under censoring is investigated, a limit theorem for a L2-distance is stated and a test procedure is formulated. Finally a Monte Carlo procedure is proposed.
Roughly every third Wikipedia article contains an infobox - a table that displays important facts about the subject in attribute-value form. The schema of an infobox, i.e., the attributes that can be expressed for a concept, is defined by an infobox template. Often, authors do not specify all template attributes, resulting in incomplete infoboxes. With iPopulator, we introduce a system that automatically populates infoboxes of Wikipedia articles by extracting attribute values from the article's text. In contrast to prior work, iPopulator detects and exploits the structure of attribute values for independently extracting value parts. We have tested iPopulator on the entire set of infobox templates and provide a detailed analysis of its effectiveness. For instance, we achieve an average extraction precision of 91% for 1,727 distinct infobox template attributes.
Fiscal federalism has been an important topic among public finance theorists in the last four decades. There is a series of arguments that decentralization of governments enhances growth by improving allocation efficiency. However, the empirical studies have shown mixed results for industrialized and developing countries and some of them have demonstrated that there might be a threshold level of economic development below which decentralization is not effective. Developing and transition countries have developed a variety of forms of fiscal decentralization as a possible strategy to achieve effective and efficient governmental structures. A generalized principle of decentralization due to the country specific circumstances does not exist. Therefore, decentralization has taken place in different forms in various countries at different times, and even exactly the same extent of decentralization may have had different impacts under different conditions. The purpose of this study is to investigate the current state of the fiscal decentralization in Mongolia and to develop policy recommendations for the efficient and effective intergovernmental fiscal relations system for Mongolia. Within this perspective the analysis concentrates on the scope and structure of the public sector, the expenditure and revenue assignment as well as on the design of the intergovernmental transfer and sub-national borrowing. The study is based on data for twenty-one provinces and the capital city of Mongolia for the period from 2000 to 2009. As a former socialist country Mongolia has had a highly centralized governmental sector. The result of the analysis below revealed that the Mongolia has introduced a number of decentralization measures, which followed a top down approach and were slowly implemented without any integrated decentralization strategy in the last decade. As a result Mongolia became de-concentrated state with fiscal centralization. The revenue assignment is lacking a very important element, for instance significant revenue autonomy given to sub-national governments, which is vital for the efficient service delivery at the local level. According to the current assignments of the expenditure and revenue responsibilities most of the provinces are unable to provide a certain national standard of public goods supply. Hence, intergovernmental transfers from the central jurisdiction to the sub-national jurisdictions play an important role for the equalization of the vertical and horizontal imbalances in Mongolia. The critical problem associated with intergovernmental transfers is that there is not a stable, predictable and transparent system of transfer allocation. The amount of transfers to sub-national governments is determined largely by political decisions on ad hoc basis and disregards local differences in needs and fiscal capacity. Thus a fiscal equalization system based on the fiscal needs of the provinces should be implemented. The equalization transfers will at least partly offset the regional disparities in revenues and enable the sub-national governments to provide a national minimum standard of local public goods.