Detector resolution correction for width of intermediate states in three particle decaysWe propose a method that allows to take into account detector resolution in the partial wave analysis event-by-event fit as a special case. Implementation of the method is discussed and the…Igor Denisenko, Igor Boyko·Aug 5, 2015SaveLearn
Capturing rogue waves by multi-point statisticsAs an example for complex systems with extreme events we investigate ocean wave states exhibiting rogue waves. We present a statistical method of data analysis based on multi-point statistics which…Ali Hadjihosseini, Matthias Wächter, Norbert P. Hoffmann et al.·Aug 3, 2015SaveLearn
On the Combination Procedure of Correlated ErrorsWhen averages of different experimental determinations of the same quantity are computed, each with statistical and systematic error components, then frequently the statistical and systematic…Jens Erler·Jul 29, 2015SaveLearn
Detection of phase transition in generalized Pólya urn in information cascade experimentWe propose a method of detecting a phase transition in a generalized Pólya urn in an information cascade experiment. The method is based on the asymptotic behavior of the correlation C(t) between…Masafumi Hino, Yosuke Irie, Masato Hisakado et al.·Jul 27, 2015SaveLearn
Detection of non-self-correcting nature of information cascadeWe propose a method of detecting non-self-correcting information cascades in experiments in which subjects choose an option sequentially by observing the choices of previous subjects. The method uses…Shintaro Mori, Masafumi Hino, Masato Hisakado et al.·Jul 26, 2015SaveLearn
Detecting changes in maps of gamma spectra with Kolmogorov-Smirnov testsVarious security, regulatory, and consequence management agencies are interested in continuously monitoring wide areas for unexpected changes in radioactivity. Existing detection systems are designed…Alex Reinhart, Valérie Ventura, Alex Athey·Jul 24, 2015SaveLearn
Extending the square root method to account for additive forecast noise in ensemble methodsA square root approach is considered for the problem of accounting for model noise in the forecast step of the ensemble Kalman filter (EnKF) and related algorithms. The primary aim is to replace the…Patrick N. Raanes, Alberto Carrassi, Laurent Bertino·Jul 22, 2015SaveLearn
Complex network based techniques to identify extreme events and (sudden) transitions in spatio-temporal systemsWe present here two promising techniques for the application of the complex network approach to continuous spatio-temporal systems that have been developed in the last decade and show large potential…Norbert Marwan, Jürgen Kurths·Jul 14, 2015SaveLearn
Limitation of the Least Square Method in the Evaluation of Dimension of Fractal Brownian MotionsWith the standard deviation for the logarithm of the re-scaled range |F(t+τ)-F(t)| of simulated fractal Brownian motions F(t) given in a previous paper q14, the method of…Bingqiang Qiao, Siming Liu, Houdun Zeng et al.·Jul 12, 2015SaveLearn
Causation entropy from symbolic representations of dynamical systemsIdentification of causal structures and quantification of direct information flows in complex systems is a challenging yet important task, with practical applications in many fields. Data generated…Carlo Cafaro, Warren M. Lord, Jie Sun et al.·Jul 11, 2015SaveLearn
Local topological charge analysis of electromagnetic vortex beam based on empirical mode decompositionThe topological charge of an electromagnetic vortex beam depends on its wavefront helicity. For mixed vortex beams composed of several different coaxial vortices, the topological charge spectrum can…Xiaonan Hui, Shilie Zheng, Weite Zhang et al.·Jul 9, 2015SaveLearn
A More Accurate Fourier TransformFourier transform methods are used to analyze functions and data sets to provide frequencies, amplitudes, and phases of underlying oscillatory components. Fast Fourier transform (FFT) methods offer…Elya Courtney, Michael Courtney·Jul 6, 2015SaveLearn
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn packageWe introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and…Jonathan F. Donges, Jobst Heitzig, Boyan Beronov et al.·Jul 2, 2015SaveLearn
Neural Networks with Non-Uniform Embedding and Explicit Validation Phase to Assess Granger CausalityA challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences…Alessandro Montalto, Sebastiano Stramaglia, Luca Faes et al.·Jul 1, 2015SaveLearn
Bounds of memory strength for power-law seriesMany time series produced by complex systems are empirically found to follow power-law distributions with different exponents α. By permuting the independently drawn samples from a power-law…Fangjian Guo, Dan Yang, Zimo Yang et al.·Jun 30, 2015SaveLearn
Chi-square Fitting When Overall Normalization is a Fit ParameterThe problem of fitting an event distribution when the total expected number of events is not fixed, keeps appearing in experimental studies. In a chi-square fit, if overall normalization is one of…Byron Roe·Jun 30, 2015SaveLearn
Detrended fluctuation analysis made flexible to detect range of cross-correlated fluctuationsThe detrended cross-correlation coefficient ρ DCCA has recently been proposed to quantify the strength of cross-correlations on different temporal scales in bivariate, non-stationary time…Jaroslaw Kwapien, Pawel Oswiecimka, Stanislaw Drozdz·Jun 29, 2015SaveLearn
A conjugate subgradient algorithm with adaptive preconditioning for LASSO minimizationThis paper describes a new efficient conjugate subgradient algorithm which minimizes a convex function containing a least squares fidelity term and an absolute value regularization term. This method…Alessandro Mirone, Pierre Paleo·Jun 28, 2015SaveLearn
Estimation of the TQ-complexity of chaotic sequencesA new approach is proposed to the quantitative estimation of the complexity of multidimensional discrete sequences in terms of the shapes of their trajectories in the extended space of states. This…A. V. Makarenko·Jun 27, 2015SaveLearn
Advanced statistical methods for eye movement analysis and modeling: a gentle introductionIn this Chapter we show that by considering eye movements, and in particular, the resulting sequence of gaze shifts, a stochastic process, a wide variety of tools become available for analyses and…Giuseppe Boccignone·Jun 23, 2015SaveLearn
Non-parametric causal inference for bivariate time seriesWe introduce new quantities for exploratory causal inference between bivariate time series. The quantities, called penchants and leanings, are computationally straightforward to apply, follow…James M. McCracken, Robert S. Weigel·Jun 22, 2015SaveLearn
Thermodynamics of Benford's First Digit LawIafrate, Miller, and Strauch [Equipartition and a Distribution for Numbers: A Statistical Model for Benford's Law," arXiv:1503.08259] construct and test a statistical model for partitioning a…Don S. Lemons·Jun 22, 2015SaveLearn
A simple application of FIC to model selectionWe have recently proposed a new information-based approach to model selection, the Frequentist Information Criterion (FIC), that reconciles information-based and frequentist inference. The purpose of…Paul A. Wiggins·Jun 19, 2015SaveLearn
The Pandora Software Development Kit for Pattern RecognitionThe development of automated solutions to pattern recognition problems is important in many areas of scientific research and human endeavour. This paper describes the implementation of the Pandora…J. S. Marshall, M. A. Thomson·Jun 16, 2015SaveLearn
Generalization of the Van Cittert--Zernike theorem: observers moving with respect to sourcesThe use of the Van Cittert--Zernike theorem for the formulation of the visibility function in satellite-based Earth observation with passive radiometers does not take into account the relative motion…Daniel Braun, Younes Monjid, Bernard Rougé et al.·Jun 15, 2015SaveLearn