Efficient Monte Carlo and greedy heuristic for the inference of stochastic block modelsWe present an efficient algorithm for the inference of stochastic block models in large networks. The algorithm can be used as an optimized Markov chain Monte Carlo (MCMC) method, with a fast mixing…Tiago P. Peixoto·Oct 16, 2013SaveLearn
Hierarchical Block Structures and High-resolution Model Selection in Large NetworksDiscovering and characterizing the large-scale topological features in empirical networks are crucial steps in understanding how complex systems function. However, most existing methods used to…Tiago P. Peixoto·Oct 16, 2013SaveLearn
A complexity measure based method for studying the dependence of 222Rn concentration time series on indoor air temperature and humidityWe have suggested a complexity measure based method for studying the dependence of measured 222Rn concentration time series on indoor air temperature and humidity. This method is based on the…Dragutin T. Mihailovic, Vladimir Udovičić, Miodrag Krmar et al.·Oct 15, 2013SaveLearn
Suppression of deterministic and stochastic extreme desynchronization events using anticipated synchronizationWe numerically show that extreme events induced by parameter mismatches or noise in coupled oscillatory systems can be anticipated and suppressed before they actually occur. We show this in a main…Jordi Zamora-Munt, Claudio R. Mirasso, Raul Toral·Oct 14, 2013SaveLearn
A cyclic time-dependent Markov process to model daily patterns in wind turbine power productionWind energy is becoming a top contributor to the renewable energy mix, which raises potential reliability issues for the grid due to the fluctuating nature of its source. To achieve adequate reserve…Teresa Scholz, Vitor V. Lopes, Ana Estanqueiro·Oct 11, 2013SaveLearn
Analyzing Big Data with Dynamic Quantum ClusteringHow does one search for a needle in a multi-dimensional haystack without knowing what a needle is and without knowing if there is one in the haystack? This kind of problem requires a paradigm shift -…M. Weinstein, F. Meirer, A. Hume et al.·Oct 10, 2013SaveLearn
Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequencesIn this paper, we propose to mix the approach underlying Bandt-Pompe permutation entropy with Lempel-Ziv complexity, to design what we call Lempel-Ziv permutation complexity. The principle consists…S. Zozor, D. Mateos, P. W. Lamberti·Oct 4, 2013SaveLearn
Newtonian Dynamics from the principle of Maximum CaliberThe foundations of Statistical Mechanics can be recovered almost in their entirety from the Principle of Maximum Entropy. In this work we show that its non-equilibrium generalization, the Principle…Diego González, Sergio Davis, Gonzalo Gutiérrez·Oct 4, 2013SaveLearn
Discovering the Significance of 5 sigmaWe discuss the traditional criterion for discovery in Particle Physics of requiring a significance corresponding to at least 5 sigma; and whether a more nuanced approach might be better.Louis Lyons·Oct 4, 2013SaveLearn
Effect of Correlations Between Model Parameters and Nuisance Parameters When Model Parameters are Fit to DataThe effect of correlations between model parameters and nuisance parameters is discussed, in the context of fitting model parameters to data. Modifications to the usual χ2 method are required.…Byron Roe·Sep 24, 2013SaveLearn
Impact of scaling range on the effectiveness of detrending methodsWe make the comparative study of scaling range properties for detrended fluctuation analysis (DFA), detrended moving average analysis (DMA) and recently proposed new technique called modified…Dariusz Grech, Zygmunt Mazur·Sep 23, 2013SaveLearn
Assortative mixing in functional brain networks during epileptic seizuresWe investigate assortativity of functional brain networks before, during, and after one-hundred epileptic seizures with different anatomical onset locations. We construct binary functional networks…Stephan Bialonski, Klaus Lehnertz·Sep 21, 2013SaveLearn
Agent-based modeling of zapping behavior of viewers, television commercial allocation, and advertisement marketsWe propose a simple probabilistic model of zapping behavior of television viewers. Our model might be regarded as a `theoretical platform' to investigate the human collective behavior in the…Hiroyuki Kyan, Jun-ichi Inoue·Sep 19, 2013SaveLearn
On the distinguishability of histogramsWe consider an approach for testing the hypothesis that two realizations of the random variables in the form of histograms are taken from the same statistical population (i.e. two histograms are…S. Bityukov, N. Krasnikov, A. Nikitenko et al.·Sep 18, 2013SaveLearn
Optimal scales in weighted networksThe analysis of networks characterized by links with heterogeneous intensity or weight suffers from two long-standing problems of arbitrariness. On one hand, the definitions of topological properties…Diego Garlaschelli, Sebastian E. Ahnert, Thomas M. A. Fink et al.·Sep 17, 2013SaveLearn
High-resolution gamma spectroscopy shift-invariant wavelet de-noisingFor the multi-resolution of wavelet transform, it used to filter the complex gamma Spectrum, the fluctuation is filtered, while the detector resolution is still kept well, which has been demonstrated…Zhang Jinzhao, Tuo Xianguo·Sep 13, 2013SaveLearn
A Physically-Intuitive Method for Calculation of the Local Lattice Constant from a High-Resolution Transmission Electron Microscopy Image by Fourier AnalysisWe have developed a physically-intuitive method to calculate the local lattice constant as a function of position in a high-resolution transmission electron microscopy image by performing a…James T. Teherani, Judy L. Hoyt·Sep 11, 2013SaveLearn
Sensitivity, uncertainty analyses and algorithm selection for Sea Ice Thickness retrieval from Radar AltimeterFor accurate forecast of climate change, sea ice mass balance, ocean circulation and sea- atmosphere interactions is required to have long term records of Sea Ice Thickness (SIT). Different…Vera Djepa·Sep 10, 2013SaveLearn
Statistics of weighted Poisson events and its applicationsThe statistics of the sum of random weights where the number of weights is Poisson distributed has important applications in nuclear physics, particle physics and astrophysics. Events are frequently…G. Bohm, G. Zech·Sep 5, 2013SaveLearn
Analysis of multichannel measurements of rare processes with uncertain expected background and acceptanceA typical experiment in high energy physics is considered. The result of the experiment is assumed to be a histogram consisting of bins or channels with numbers of corresponding registered events.…I. B. Smirnov·Sep 2, 2013SaveLearn
Detrended Cross-Correlation Analysis Consistently Extended to MultifractalityWe propose a novel algorithm - Multifractal Cross-Correlation Analysis (MFCCA) - that constitutes a consistent extension of the Detrended Cross-Correlation Analysis (DCCA) and is able to properly…Paweł Oświȩcimka, Stanisław Drożdż, Marcin Forczek et al.·Aug 28, 2013SaveLearn
Information geometric complexity of entropic motion on curved statistical manifoldsPhysical systems behave according to their underlying dynamical equations which, in turn, can be identified from experimental data. Explaining data requires selecting mathematical models that best…Carlo Cafaro·Aug 21, 2013SaveLearn
Structural Changes in Data Communication in Wireless Sensor NetworksWireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them…Raquel S. Cabral, Andre L. L. Aquino, Alejandro C. Frery et al.·Aug 14, 2013SaveLearn
Improved time-interval analysisSeveral extensions of the halflife analysis method recently suggested by Horvat and Hardy are put forward. Goodness-of-fit testing is included, and the method is extended to cases where more…H. O. U. Fynbo, K. Riisager·Aug 13, 2013SaveLearn
The bold/timorous walker on the trek from homeWe study a one-dimensional random walk with memory. The behavior of the walker is modified with respect to the simple symmetric random walk (SSRW) only when he is at the maximum distance ever reached…Maurizio Serva·Aug 7, 2013SaveLearn