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Competitive search entails both commitment to and advertising of pay-o¤ relevant aspects of market participants. This paper considers incrementally the implications of each in a labor market where both workers and rms invest prior to market entry. A wide range of institutional arrangements are addressed within the same general framework. When the characteristics of jobs or workers are advertis...
Archived organizational email datasets have been considered valuable data resources for various studies, such as spam detection, email classification, Social Network Analysis (SNA), and text mining. Similar to other forms of raw data, email data can be messy and needs to be cleaned before any analysis is conducted. However, few studies have presented investigation on the cleaning of archived or...
through a Substrate Repositioning Mechanism 2 3 Hongping Dong, Suping Ren, Bo Zhang, Yangsheng Zhou, Francesc Puig-Basagoiti, 4 Hongmin Li, and Pei-Yong Shi 5 6 Wadsworth Center, New York State Department of Health, College of Life Science, Nanjing 7 Normal University, P. R. China, and Department of Biomedical Sciences, School of Public 8 Health, State University of New York, Albany, New York 1...
We study multidimensional stochastic volatility models in which the process is a positive continuous function of Volterra that can be not self-similar. The main results obtained this paper are generalization due, one-dimensional case, to Cellupica and Pacchiarotti (J. Theor. Probab. 34(2):682–727). state some (pathwise finite-dimensional) large deviation principles for scaled log-price as conse...
Dieter Merzbacher: Meistergesang in Nürnberg um 1600. Untersuchungen zu den Texten und Sammlungen des Benedict von Watt (1569-1616). (Nürnberger Werkstücke zur Stadtund Landesgeschichte; Bd. 39). Neustadt a.d. Aisch: Schmidt 1987. 518 S.
In recent years there has been an increase in the number of inactive and debris Space Objects (SOs). This work examines both data driven and model driven SO classification. The model driven approach investigated for this work is based on the Multiple Model Adaptive Estimation approach to extract SO characteristics from observations while estimating the probability the observations belonging to ...
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