Entropic InferenceIn this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents. The…Ariel Caticha·Nov 2, 2010SaveLearn
Cascade of failures in coupled network systems with multiple support-dependent relationsWe study, both analytically and numerically, the cascade of failures in two coupled network systems A and B, where multiple support-dependent relations are randomly built between nodes of networks A…Jia Shao, Sergey V. Buldyrev, Shlomo Havlin et al.·Nov 1, 2010SaveLearn
The effect of Coulombic friction on spatial displacement statisticsThe phenomenon of Coulombic friction enters the stochastic description of dry friction between two solids and the statistic characterization of vibrating granular media. Here we analyze the…Andreas M. Menzel, Nigel Goldenfeld·Oct 30, 2010SaveLearn
A population-based approach to background discrimination in particle physicsBackground properties in experimental particle physics are typically estimated using control samples corresponding to large numbers of events. This can provide precise knowledge of average background…Federico Colecchia·Oct 28, 2010SaveLearn
Robustness of a Network of NetworksAlmost all network research has been focused on the properties of a single network that does not interact and depends on other networks. In reality, many real-world networks interact with other…Jianxi Gao, Sergey V. Buldyrev, Shlomo Havlin et al.·Oct 28, 2010SaveLearn
Analysis of stochastic time series in the presence of strong measurement noiseA new approach for the analysis of Langevin-type stochastic processes in the presence of strong measurement noise is presented. For the case of Gaussian distributed, exponentially correlated,…Bernd Lehle·Oct 27, 2010SaveLearn
Correlated couplings and robustness of coupled networksMost real-world complex systems can be modelled by coupled networks with multiple layers. How and to what extent the pattern of couplings between network layers may influence the interlaced structure…Won-kuk Cho, K. -I. Goh, I. -M. Kim·Oct 24, 2010SaveLearn
Inter-similarity between coupled networksRecent studies have shown that a system composed from several randomly interdependent networks is extremely vulnerable to random failure. However, real interdependent networks are usually not…Roni Parshani, Celine Rozenblat, Daniele Ietri et al.·Oct 21, 2010SaveLearn
The critical effect of dependency groups on the function of networksCurrent network models assume one type of links to define the relations between the network entities. However, many real networks can only be correctly described using two different types of…Roni Parshani, Sergey V. Buldyrev, Shlomo Havlin·Oct 21, 2010SaveLearn
On detecting determinism and nonlinearity in microelectrode recording signals: Approach based on non-stationary surrogate data methodsTwo new surrogate methods, the Small Shuffle Surrogate (SSS) and the Truncated Fourier Transform Surrogate (TFTS), have been proposed to study whether there are some kind of dynamics in irregular…D. Guarín, A. Orozco, E. Delgado et al.·Oct 21, 2010SaveLearn
Cruising The Simplex: Hamiltonian Monte Carlo and the Dirichlet DistributionDue to its constrained support, the Dirichlet distribution is uniquely suited to many applications. The constraints that make it powerful, however, can also hinder practical implementations,…M. J. Betancourt·Oct 17, 2010SaveLearn
Automatic detection and tracking of dust particles in a RF plasma sheathA method enabling automatic detection and tracking of large amounts of individual dust particles in plasmas is presented. Individual trajectories can be found with a good spatiotemporal resolution,…Y. Zayachuk, F. Brochard, S. Bardin et al.·Oct 17, 2010SaveLearn
Description of stochastic and chaotic series using visibility graphsNonlinear time series analysis is an active field of research that studies the structure of complex signals in order to derive information of the process that generated those series, for…Lucas Lacasa, Raul Toral·Oct 14, 2010SaveLearn
First-Digit Law in Nonextensive StatisticsNonextensive statistics, characterized by a nonextensive parameter q, is a promising and practically useful generalization of the Boltzmann statistics to describe power-law behaviors from physical…Lijing Shao, Bo-Qiang Ma·Oct 13, 2010SaveLearn
A characterization of horizontal visibility graphs and combinatorics on wordsAn Horizontal Visibility Graph (for short, HVG) is defined in association with an ordered set of non-negative reals. HVGs realize a methodology in the analysis of time series, their degree…Gregory Gutin, Toufik Mansour, Simone Severini·Oct 9, 2010SaveLearn
Measuring Urban Sprawl Based on Massive Street Nodes and the Novel Concept of Natural CitiesIn this paper, we develop a novel approach to measuring urban sprawl based on street nodes and naturally defined urban boundaries, both extracted from massive volunteered geographic information…Tao Jia, Bin Jiang·Oct 4, 2010SaveLearn
Improved iterative Bayesian unfoldingThis paper reviews the basic ideas behind a Bayesian unfolding published some years ago and improves their implementation. In particular, uncertainties are now treated at all levels by probability…G. D'Agostini·Oct 4, 2010SaveLearn
Signal induced Symmetry Breaking in Noise Statistical Properties of Data AnalysisFrom a time series whose data are embedded in heavy noise, we construct an Hilbert space operator (J-operator) whose discrete spectrum represents the signal while the essential spectrum located on…Luca Perotti, Daniel Vrinceanu, Daniel Bessis·Sep 30, 2010SaveLearn
A Bayesian Approach To Histogram ComparisonDetermining if two histograms are consistent, whether they have been drawn from the same underlying distribution or not, is a common problem in physics. Existing approaches are not only limited in…M. J. Betancourt·Sep 28, 2010SaveLearn
Extracting directed information flow networks: an application to genetics and semanticsWe introduce a general method to infer the directional information flow between populations whose elements are described by n-dimensional vectors of symbolic attributes. The method is based on the…A. P. Masucci, A. Kalampokis, V. M. Eguíluz et al.·Sep 24, 2010SaveLearn
Uniqueness transition in noisy phase retrievalPrevious criteria for the feasibility of reconstructing phase information from intensity measurements, both in x-ray crystallography and more recently in coherent x-ray imaging, have been based on…Veit Elser, Stefan Eisebitt·Sep 23, 2010SaveLearn
Rhythm and Randomness in Human ContactThere is substantial interest in the effect of human mobility patterns on opportunistic communications. Inspired by recent work revisiting some of the early evidence for a Lévy flight foraging…Mervyn P. Freeman, Nicholas W. Watkins, Eiko Yoneki et al.·Sep 21, 2010SaveLearn
Scaling of Geographic Space from the Perspective of City and Field Blocks and Using Volunteered Geographic InformationScaling of geographic space refers to the fact that for a large geographic area its small constituents or units are much more common than the large ones. This paper develops a novel perspective to…Bin Jiang, Xintao Liu·Sep 19, 2010SaveLearn
On the apparently fixed dispersion of size distributionsProbability density functions (PDF) of statistical distributions of cluster sizes N, where N is the number of particles in the cluster, often seem to have less freedom than expected from considering…Sascha Vongehr, Shaochun Tang, Xiangkang Meng·Sep 17, 2010SaveLearn
Removal of zero-point drift from AB data and the statistical costOften the result of a scientific experiment is given by the difference of measurements in two configurations, denoted by A and B. Since the measurements are not obtained simultaneously, drift of the…H Erik Swanson, Stephan Schlamminger·Sep 9, 2010SaveLearn