A Simple Non-Markovian Computational Model of the Statistics of Soccer Leagues: Emergence and Scaling effectsWe propose a novel algorithm that outputs the final standings of a soccer league, based on a simple dynamics that mimics a soccer tournament. In our model, a team is created with a defined…Roberto da Silva, Mendeli Vainstein, Luis Lamb et al.·Jul 8, 2012SaveLearn
An algorithm for quantifying dependence in multivariate data setsWe describe an algorithm to quantify dependence in a multivariate data set. The algorithm is able to identify any linear and non-linear dependence in the data set by performing a hypothesis test for…Michael Feindt, Michael Prim·Jul 4, 2012SaveLearn
On the origin of long-range correlations in textsThe complexity of human interactions with social and natural phenomena is mirrored in the way we describe our experiences through natural language. In order to retain and convey such a high…Eduardo G. Altmann, Giampaolo Cristadoro, Mirko Degli Esposti·Jul 3, 2012SaveLearn
Calculating particle correlators with the account of detector efficiencyThe formulae for correlators K2 and K3 of a given particle observable (e.g. energy or transverse momentum) accounting for the track reconstruction efficiency are presented. Similar to the case of an…Y. A. Kulchitsky, R. Lednicky, F. Rimondi et al.·Jul 2, 2012SaveLearn
Non-Smooth Variational Data Assimilation with Sparse PriorsThis paper proposes an extension to the classical 3D variational data assimilation approach by explicitly incorporating as a prior information, the transform-domain sparsity observed in a large class…Ardeshir M. Ebtehaj, Efi Foufoula-Georgiou, Sara Q. Zhang et al.·Jul 2, 2012SaveLearn
Spectral rate theory for projected two-state kineticsClassical rate theories often fail in cases where the observable(s) or order parameter(s) used are poor reaction coordinates or the observed signal is deteriorated by noise, such that no clear…Jan-Hendrik Prinz, John D. Chodera, Frank Noe·Jul 1, 2012SaveLearn
Limited Urban Growth: London's Street Network Dynamics since the 18th CenturyWe investigate the growth dynamics of Greater London defined by the administrative boundary of the Greater London Authority, based on the evolution of its street network during the last two…A. Paolo Masucci, Kiril Stanilov, Michael Batty·Jun 24, 2012SaveLearn
What is Statistics?; The Answer by Quantum LanguageSince the problem: "What is statistics?" is most fundamental in sceince, in order to solve this problem, there is every reason to believe that we have to start from the proposal of a…Shiro Ishikawa·Jun 24, 2012SaveLearn
The H1 Data Preservation ProjectThe H1 data preservation project was started in 2009 as part of the global data preservation initiative in high-energy physics, DPHEP. In order to retain the full potential for future improvements,…David M. South, Michael Steder·Jun 22, 2012SaveLearn
Calibration of multi-physics computational models using Bayesian networksThis paper develops a Bayesian network-based method for the calibration of multi-physics models, integrating various sources of uncertainty with information from computational models and experimental…You Ling, Joshua Mullins, Sankaran Mahadevan·Jun 21, 2012SaveLearn
Quantitative model validation techniques: new insightsThis paper develops new insights into quantitative methods for the validation of computational model prediction. Four types of methods are investigated, namely classical and Bayesian hypothesis…You Ling, Sankaran Mahadevan·Jun 21, 2012SaveLearn
The two envelopes probability paradox: Much ado about nothingThe two envelopes paradox is discussed. By calculating the conditional probability, we arrive at a conditional expectations which differs from existing results.R. A. Vazquez·Jun 21, 2012SaveLearn
Rounding Effects in Record StatisticsWe analyze record-breaking events in time series of continuous random variables that are subsequently discretized by rounding down to integer multiples of a discretization scale Δ>0. Rounding leads…G. Wergen, D. Volovik, S. Redner et al.·Jun 20, 2012SaveLearn
Robust Detection of Dynamic Community Structure in NetworksWe describe techniques for the robust detection of community structure in some classes of time-dependent networks. Specifically, we consider the use of statistical null models for facilitating the…Danielle S. Bassett, Mason A. Porter, Nicholas F. Wymbs et al.·Jun 19, 2012SaveLearn
On the relation between frequentist and Bayesian approaches for the case of Poisson statisticsWe propose modified frequentist definition for the determination of confidence intervals for the case of Poisson statistics. Namely, we require that 1-β' ≥ Σn=onobs+k P(n|λ) ≥…Sergey Bitioukov, Nikolai Krasnikov·Jun 18, 2012SaveLearn
First and second order semi-Markov chains for wind speed modelingThe increasing interest in renewable energy, particularly in wind, has given rise to the necessity of accurate models for the generation of good synthetic wind speed data. Markov chains are often…Guglielmo D'Amico, Filippo Petroni, Flavio Prattico·Jun 12, 2012SaveLearn
Percolation of Partially Interdependent Scale-free NetworksWe study the percolation behavior of two interdependent scale-free (SF) networks under random failure of 1-p fraction of nodes. Our results are based on numerical solutions of analytical…Di Zhou, Jianxi Gao, H. Eugene Stanley et al.·Jun 12, 2012SaveLearn
Deterministic ants in labirynth -- information gained by map sharingA few of ant robots are dropped to a labirynth, formed by a square lattice with a small number of nodes removed. Ants move according to a deterministic algorithm designed to explore all corridors.…Janusz Malinowski, Krzysztof Kułakowski·Jun 12, 2012SaveLearn
Pippi - painless parsing, post-processing and plotting of posterior and likelihood samplesInterpreting samples from likelihood or posterior probability density functions is rarely as straightforward as it seems it should be. Producing publication-quality graphics of these distributions is…Pat Scott·Jun 11, 2012SaveLearn
Complexity-Entropy Causality Plane as a Complexity Measure for Two-dimensional PatternsComplexity measures are essential to understand complex systems and there are numerous definitions to analyze one-dimensional data. However, extensions of these approaches to two or…H. V. Ribeiro, L. Zunino, E. K. Lenzi et al.·Jun 11, 2012SaveLearn
The extreme vulnerability of interdependent spatially embedded networksRecent studies show that in interdependent networks a very small failure in one network may lead to catastrophic consequences. Above a critical fraction of interdependent nodes, even a single node…Amir Bashan, Yehiel Berezin, Sergey V. Buldyrev et al.·Jun 10, 2012SaveLearn
Inference of Time-Evolving Coupled Dynamical Systems in the Presence of NoiseA new method is introduced for analysis of interactions between time-dependent coupled oscillators, based on the signals they generate. It distinguishes unsynchronized dynamics from noise-induced…Tomislav Stankovski, Andrea Duggento, Peter V. E. McClintock et al.·Jun 9, 2012SaveLearn
Parameter Estimation Through IgnoranceDynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the…Hailiang Du, Leonard A. Smith·Jun 6, 2012SaveLearn
On the scaling ranges of detrended fluctuation analysis for long-memory correlated short series of dataWe examine the scaling regime for the detrended fluctuation analysis (DFA) - the most popular method used to detect the presence of long memory in data and the fractal structure of time series.…Dariusz Grech, Zygmunt Mazur·Jun 5, 2012SaveLearn
Cascading Failures in Interdependent Lattice Networks: The Critical Role of the Length of Dependency LinksWe study the cascading failures in a system composed of two interdependent square lattice networks A and B placed on the same Cartesian plane, where each node in network A depends on a node in…Wei Li, Amir Bashan, Sergey V. Buldyrev et al.·Jun 1, 2012SaveLearn