The influence maximization paradigm has been used by researchers in various fields order to study how information spreads social networks. While previously the attention was mostly on efficiency, more recently fairness issues have taken into account this scope. In present paper, we propose use randomization as a mean for achieving fairness. general idea is not new, it applied area.
 Simila...

In this paper, I will argue that, while the ethical issues raised by cluster randomization can be challenging, they are not new. My thesis divides neatly into two parts. In the first, easier part I argue that many of the ethical challenges posed by cluster randomized human subjects research are clearly present in other types of human subjects research, and so are not novel. In the second, more ...

21 22 23 24 25 26 27 28 29 Article history: Received 28 January 2010 Received in revised form 26 August 2011 Accepted 30 August 2011 Available online xxxx

Most of this course will be devoted to the study of treatment effects in the absence of random assignment of subjects to treatments. As we will see, performing causal inference in the absence of random treatment assignment requires that we make fairly strong assumptions. In contrast, when treatment is assigned randomly, treatment effects can be estimated with very mild assumptions and, very imp...

1. Methods in Epidemiologic, Clinical and Operations Research–MECOR–program, American Thoracic Society/Asociación Latinoamericana del Tórax. Montevídeo, Uruguay. 2. Divisão de Pneumologia, Instituto do Coração – InCor – Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brasil. 3. Department of Preventive Medicine, Keck School of Medicine, University of Southern...

In this paper, we introduce the progressive randomization (PR): a new image meta-description approach suitable for different image inference applications such as broad class Image Categorization, Forensics and Steganalysis. The main difference among PR and the state-of-the-art algorithms is that it is based on progressive perturbations on pixel values of images. With such perturbations, PR capt...

Two of the major assumptions that common statistical tests make about random sampling and distribution of the data are not tenable for most typological data. We suggest to use randomization tests, which avoid these assumptions. Randomization is applicable to frequency data, rank data, scalar measurements, and ratings, so most typological data can be analyzed with the same tools. We provided a f...

The star discrepancy is a measure of how uniformly distributed a finite point set is in the d-dimensional unit cube. It is related to high-dimensional numerical integration of certain function classes as expressed by the Koksma-Hlawka inequality. A sharp version of this inequality states that the worst-case error of approximating the integral of functions from the unit ball of some Sobolev spac...