A spatiospectral localization approach to estimating potential fields on the surface of a sphere from noisy, incomplete data taken at satellite altitudesSatellites mapping the spatial variations of the gravitational or magnetic fields of the Earth or other planets ideally fly on polar orbits, uniformly covering the entire globe. Thus, potential…Frederik J. Simons, F. A. Dahlen·Jun 13, 2013SaveLearn
Scalar and vector Slepian functions, spherical signal estimation and spectral analysisIt is a well-known fact that mathematical functions that are timelimited (or spacelimited) cannot be simultaneously bandlimited (in frequency). Yet the finite precision of measurement and computation…Frederik J. Simons, Alain Plattner·Jun 13, 2013SaveLearn
Eigenvalue Spectra of Modular NetworksA large variety of dynamical processes that take place on networks can be expressed in terms of the spectral properties of some linear operator which reflects how the dynamical rules depend on the…Tiago P. Peixoto·Jun 11, 2013SaveLearn
Network topology reconstructed from derivative-variable correlationsA method of network reconstruction from the dynamical time series is introduced, relying on the concept of derivative-variable correlation. Using a tunable observable as a parameter, the…Zoran Levnajić, Arkady Pikovsky·Jun 11, 2013SaveLearn
Background modeling for the GERDA experimentThe neutrinoless double beta (0nubb) decay experiment GERDA at the LNGS of INFN has started physics data taking in November 2011. This paper presents an analysis aimed at understanding and modeling…N. Becerici-Schmidt·Jun 10, 2013SaveLearn
Variational Data Assimilation via Sparse RegularizationThis paper studies the role of sparse regularization in a properly chosen basis for variational data assimilation (VDA) problems. Specifically, it focuses on data assimilation of noisy and…A. M. Ebtehaj, M. Zupanski, G. Lerman et al.·Jun 7, 2013SaveLearn
Remarks on the statistical aspects of the safety analysisWe investigate the statistical methods applied throughout safety analysis of complex systems. The tolerance interval method implemented in the widely utilized 0.95|0.95 methodology is analyzed. We…Lenard Pal, Mihaly Makai·Jun 6, 2013SaveLearn
Direct Phasing of Nanocrystal DiffractionRecent experiments at free-electron laser x-ray sources have been able to resolve the intensity distributions about Bragg peaks in nanocrystals of large biomolecules. Information derived from small…Veit Elser·Jun 4, 2013SaveLearn
Diagnosing Heterogeneous Dynamics in Single Molecule/Particle Trajectories with Multiscale WaveletsWe describe a simple automated method to extract and quantify transient heterogeneous dynamical changes from large datasets generated in single molecule/particle tracking experiments. Based on…Kejia Chen, Bo Wang, Juan Guan et al.·Jun 3, 2013SaveLearn
Characterization of the degree of Musical non-MarkovianityRecently, as an aid for musical analysis, in computational musicology mathematical and informatics tools have been developed to quantitatively characterize some aspects of musical compositions. To a…Maria Mannone, Giuseppe Compagno·Jun 2, 2013SaveLearn
Continuous-Time Random Walk with multi-step memory: An application to market dynamicsA novel version of the Continuous-Time Random Walk (CTRW) model with memory is developed. This memory means the dependence between arbitrary number of successive jumps of the process, while waiting…Tomasz Gubiec, Ryszard Kutner·May 29, 2013SaveLearn
How complex climate networks complement eigen techniques for the statistical analysis of climatological dataEigen techniques such as empirical orthogonal function (EOF) or coupled pattern (CP) / maximum covariance analysis have been frequently used for detecting patterns in multivariate climatological data…Jonathan F. Donges, Irina Petrova, Alexander Loew et al.·May 28, 2013SaveLearn
Direct coupling information measure from non-uniform embeddingA measure to estimate the direct and directional coupling in multivariate time series is proposed. The measure is an extension of a recently published measure of conditional Mutual Information from…Dimitris Kugiumtzis·May 27, 2013SaveLearn
Fractional Gaussian noise criterion for correlations characterization: a random-matrix-theory inspired perspectiveWe introduce a particular construction of an autocorrelation matrix of a time series and its analysis based on the random-matrix theory ideas that is capable of unveiling the type of correlations…Tayeb Jamali, Hamed Saberi, G. R. Jafari·May 21, 2013SaveLearn
Self-Similar Anisotropic Texture Analysis: the Hyperbolic Wavelet Transform ContributionTextures in images can often be well modeled using self-similar processes while they may at the same time display anisotropy. The present contribution thus aims at studying jointly selfsimilarity and…S. G. Roux, M. Clausel, B. Vedel et al.·May 19, 2013SaveLearn
A solution for an inverse problem in liquid AFM: calculation of three-dimensional solvation structure on a sample surfaceRecent frequency-modulated atomic force microscopy (FM-AFM) can measure three-dimensional force distribution between a probe and a sample surface in liquid. The force distribution is, in the present…Ken-ich Amano, Ohgi Takahash·May 17, 2013SaveLearn
Predicting the variance of a measurement with 1/f noiseMeasurement devices always add noise to the signal of interest and it is necessary to evaluate the variance of the results. This article focuses on stationary random processes whose Power Spectrum…Benjamin Lenoir·May 17, 2013SaveLearn
Wind speed forecasting at different time scales: a non parametric approachThe prediction of wind speed is one of the most important aspects when dealing with renewable energy. In this paper we show a new nonparametric model, based on semi-Markov chains, to predict wind…Guglielmo D'Amico, Filippo Petroni, Flavio Prattico·May 16, 2013SaveLearn
Disentangling sources of anomalous diffusionWe show that some important properties of subbdiffusion of unknown origin (including those of mixed origin) can be easily assessed when findeng the "fundamental moment" of the corresponding…Felix Thiel, Franziska Flegel, Igor M. Sokolov·May 15, 2013SaveLearn
Super-linear scaling of offsprings at criticality in branching processesFor any branching process, we demonstrate that the typical total number r mp(ντ) of events triggered over all generations within any sufficiently large time window τ exhibits, at…A. Saichev, D. Sornette·May 3, 2013SaveLearn
Invariant expectation values in the sampling of discrete frequency distributionsThe general relationship between an arbitrary frequency distribution and the expectation value of the frequency distributions of its samples is discussed. A wide set of measurable quantities…Paolo Rossi·May 2, 2013SaveLearn
Powerlaw: a Python package for analysis of heavy-tailed distributionsPower laws are theoretically interesting probability distributions that are also frequently used to describe empirical data. In recent years effective statistical methods for fitting power laws have…Jeff Alstott, Ed Bullmore, Dietmar Plenz·May 1, 2013SaveLearn
A Tutorial on Time-Evolving Dynamical Bayesian InferenceIn view of the current availability and variety of measured data, there is an increasing demand for powerful signal processing tools that can cope successfully with the associated problems that often…Tomislav Stankovski, Andrea Duggento, Peter V. E. McClintock et al.·Apr 30, 2013SaveLearn
Comment on Wibral et al. (2013): Measuring information-transfer delays, PloS ONE 8(2): e55809Wibral et al. propose a measure of interaction delays rooted in an information-theoretic framework and contrast their measure with the bivariate momentary information transfer (MIT), introduced in…Jakob Runge·Apr 30, 2013SaveLearn
Information directionality in coupled time series using transcriptsIn ordinal symbolic dynamics, transcripts describe the algebraic relationship between ordinal patterns. Using the concept of transcript, we exploit the mathematical structure of the group of…Roberto Monetti, Wolfram Bunk, Thomas Aschenbrenner et al.·Apr 29, 2013SaveLearn