An intermediate distribution between Gaussian and Cauchy distributionsIn this paper, we construct an intermediate distribution linking the Gaussian and the Cauchy distribution. We provide the probability density function and the corresponding characteristic function of…Tong Liu, Ping Zhang, Wu-Sheng Dai et al.·Aug 25, 2012SaveLearn
Reciprocity of weighted networksAll types of networks arise as intricate combinations of dyadic building blocks formed by pairs of vertices. In directed networks, the dyadic patterns are entirely determined by reciprocity, i.e. the…Tiziano Squartini, Francesco Picciolo, Franco Ruzzenenti et al.·Aug 21, 2012SaveLearn
Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time seriesNotwithstanding the significant efforts to develop estimators of long-range correlations (LRC) and to compare their performance, no clear consensus exists on what is the best method and under which…Ying-Hui Shao, Gao Feng Gu, Zhi-Qiang Jiang et al.·Aug 18, 2012SaveLearn
Power-law distributions in binned empirical dataMany man-made and natural phenomena, including the intensity of earthquakes, population of cities and size of international wars, are believed to follow power-law distributions. The accurate…Yogesh Virkar, Aaron Clauset·Aug 17, 2012SaveLearn
An improved method for measuring muon energy using the truncated mean of dE/dxThe measurement of muon energy is critical for many analyses in large Cherenkov detectors, particularly those that involve separating extraterrestrial neutrinos from the atmospheric neutrino…IceCube collaboration, R. Abbasi, Y. Abdou et al.·Aug 16, 2012SaveLearn
Randomness, Information, and ComplexityWe review possible measures of complexity which might in particular be applicable to situations where the complexity seems to arise spontaneously. We point out that not all of them correspond to the…Peter Grassberger·Aug 16, 2012SaveLearn
Prediction of particle type from measurements of particle location: A physicist's approach to Bayesian classificationThe Bayesian approach to the prediction of particle type given measurements of particle location is explored, using a parametric model whose prior is based on the transformation group. Two types of…Robert W. Johnson·Aug 15, 2012SaveLearn
Microstructure identification via detrended fluctuation analysis of ultrasound signalsWe describe an algorithm for simulating ultrasound propagation in random one-dimensional media, mimicking different microstructures by choosing physical properties such as domain sizes and mass…Paulo G. Normando, Romao S. Nascimento, Elineudo P. Moura et al.·Aug 10, 2012SaveLearn
Frequentist vs Bayesian statistics - a non-statisticians viewPeople who by training end up dealing with probabilities ("statisticians") roughly fall into one of two camps. One is either a frequentist or a Bayesian. To a scientist, who needs to use…Maarten H. P. Ambaum·Aug 10, 2012SaveLearn
Comment on "Dynamic Opinion Model and Invasion Percolation"In J. Shao et al., PRL 103, 108701 (2009) the authors claim that a model with majority rule coarsening exhibits in d=2 a percolation transition in the universality class of invasion percolation with…A. Sattari, M. Paczuski, P. Grassberger·Aug 8, 2012SaveLearn
The A4 project: physics data processing using the Google protocol buffer libraryIn this paper, we present the High Energy Physics data format, processing toolset and analysis library a4, providing fast I/O of structured data using the Google protocol buffer library. The overall…Johannes Ebke, Peter Waller·Aug 8, 2012SaveLearn
Anomalous Diffusion and Long-range Correlations in the Score Evolution of the Game of CricketWe investigate the time evolution of the scores of the second most popular sport in world: the game of cricket. By analyzing the scores event-by-event of more than two thousand matches, we point out…H. V. Ribeiro, Satyam Mukherjee, Xiao Han T. Zeng·Aug 6, 2012SaveLearn
Inferring complex networks from time series of dynamical systems: Pitfalls, misinterpretations, and possible solutionsUnderstanding the dynamics of spatially extended systems represents a challenge in diverse scientific disciplines, ranging from physics and mathematics to the earth and climate sciences or the…S. Bialonski·Aug 3, 2012SaveLearn
The Art of Probability AssignmentThe problem of assigning probabilities when little is known is analized in the case where the quanities of interest are physical observables, i.e. can be measured and their values expressed by…Vesselin I. Dimitrov·Jul 31, 2012SaveLearn
Theoretical predictions for vehicular headways and their clustersThis article presents a derivation of analytical predictions for steady-state distributions of netto time gaps among clusters of vehicles moving inside a traffic stream. Using the thermodynamic…Milan Krbalek·Jul 26, 2012SaveLearn
Reliability measures of second order semi-Markov chain applied to wind energy productionIn this paper we consider the problem of wind energy production by using a second order semi-Markov chain in state and duration as a model of wind speed. The model used in this paper is based on our…Guglielmo D'Amico, Filippo Petroni, Flavio Prattico·Jul 25, 2012SaveLearn
Basic Data Analysis and More - A Guided Tour Using PythonIn these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical…O. Melchert·Jul 25, 2012SaveLearn
Nearfield Acoustic Holography using sparsity and compressive sampling principlesRegularization of the inverse problem is a complex issue when using Near-field Acoustic Holography (NAH) techniques to identify the vibrating sources. This paper shows that, for convex homogeneous…Gilles Chardon, Laurent Daudet, Antoine Peillot et al.·Jul 24, 2012SaveLearn
Inference of Extreme Synchrony with an Entropy Measure on a Bipartite NetworkThis article proposes a method to quantify the structure of a bipartite graph using a network entropy per link. The network entropy of a bipartite graph with random links is calculated both…Aki-Hiro Sato·Jul 20, 2012SaveLearn
Towards the perfect prediction of soccer matchesWe present a systematic approach to the prediction of soccer matches. First, we show that the information about chances for goals is by far more informative than about the actual results. Second, we…Andreas Heuer, Oliver Rubner·Jul 19, 2012SaveLearn
How does the past of a soccer match influence its future?Scoring goals in a soccer match can be interpreted as a stochastic process. In the most simple description of a soccer match one assumes that scoring goals can be described by a constant goal rate…Andreas Heuer, Oliver Rubner·Jul 18, 2012SaveLearn
Stochastic description of geometric phase for polarized waves in random mediaWe present a stochastic description of multiple scattering of polarized waves in the regime of forward scattering. In this regime, if the source is polarized, polarization survives along a few…Jérémie Boulanger, Nicolas le Bihan, Vincent Rossetto·Jul 11, 2012SaveLearn
Performability analysis of the second order semi-Markov chains: an application to wind energy productionIn this paper a general second order semi-Markov reward model is presented. Equations for the higher order moments of the reward process are presented for the first time and applied to wind energy…Guglielmo D'Amico, Filippo Petroni, Flavio Prattico·Jul 10, 2012SaveLearn
Improved Algorithms for Nanopore Signal ProcessingNanopore resistive pulse techniques are based on analysis of current or voltage spikes in the recorded signal. These spikes result from translocation of nanometer sized analytes through a nanopore.…Nima Arjmandi, Willem Van Roy, Liesbet Lagae et al.·Jul 10, 2012SaveLearn
Spectra for the product of Gaussian noisesProducts of Gaussian noises often emerge as the result of non-linear detection techniques or as a parasitic effect, and their proper handling is important in many practical applications, including in…L. B. Kish, R. Mingesz, Z. Gingl et al.·Jul 8, 2012SaveLearn