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Data Analysis papers — page 80

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Iterative unfolding with the Richardson-Lucy algorithm
The Richardson-Lucy unfolding approach is simple and excellently performing. It efficiently suppresses artificial high frequency contributions and permits to introduce known features of the true…
Guenter ZechOct 18, 2012
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Everything you wanted to know about Data Analysis and Fitting but were afraid to ask
These notes discuss, in a style intended for physicists, how to average data and fit it to some functional form. I try to make clear what is being calculated, what assumptions are being made, and to…
Peter YoungOct 14, 2012
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Quantifying Causal Coupling Strength: A Lag-specific Measure For Multivariate Time Series Related To Transfer Entropy
While it is an important problem to identify the existence of causal associations between two components of a multivariate time series, a topic addressed in Runge et al. (2012), it is even more…
Jakob Runge, Jobst Heitzig, Norbert Marwan et al.Oct 9, 2012
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On sampling and parametrization of discrete frequency distributions
The general relationship between an arbitrary frequency distribution and the expectation value of the frequency distributions of its samples is esablished. A set of combinations of expectation values…
Paolo RossiOct 4, 2012
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Variational Downscaling, Fusion and Assimilation of Hydrometeorological States via Regularized Estimation
Improved estimation of hydrometeorological states from down-sampled observations and background model forecasts in a noisy environment, has been a subject of growing research in the past decades.…
Ardeshir Mohammad Ebtehaj, Efi Foufoula-GeorgiouOct 2, 2012
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Monitoring spike train synchrony
Recently, the SPIKE-distance has been proposed as a parameter-free and time-scale independent measure of spike train synchrony. This measure is time-resolved since it relies on instantaneous…
Thomas Kreuz, Daniel Chicharro, Conor Houghton et al.Sep 28, 2012
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Compressive Radar with Off-Grid Targets: A Perturbation Approach
Compressed sensing (CS) schemes are proposed for monostatic as well as synthetic aperture radar (SAR) imaging with chirped signals and Ultra-Narrowband (UNB) continuous waveforms. In particular, a…
Albert Fannjiang, Hsiao-Chieh TsengSep 28, 2012
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Modified frequentist determination of confidence intervals for Poisson distribution
We propose modified frequentist definitions for the determination of confidence intervals for the case of Poisson statistics. We require that 1-β' ≥ Σn=onobs+k P(n|λ) ≥…
S. I. Bitioukov, N. V. KrasnikovSep 28, 2012
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Algebraic characterization of binary graphs
One of the fundamental concepts in the statistical mechanics field is that of ensemble. Ensembles of graphs are collections of graphs, defined according to certain rules. The two most used ensembles…
Tiziano SquartiniSep 25, 2012
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Dynamical Bayesian Inference of Time-evolving Interactions: From a Pair of Coupled Oscillators to Networks of Oscillators
Living systems have time-evolving interactions that, until recently, could not be identified accurately from recorded time series in the presence of noise. Stankovski et al. (Phys. Rev. Lett. 109…
Andrea Duggento, Tomislav Stankovski, Peter V. E. McClintock et al.Sep 21, 2012
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Kernel based unfolding of data obtained from detectors with finite resolution and limited acceptance
A kernel based procedure for correcting experimental data for distortions due to the finite resolution and limited detector acceptance is presented. The unfolding problem is known to be an ill-posed…
N. D. Gagunashvili, M. SchmellingSep 17, 2012
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Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit
We present an implementation of the analysis of dynamic near field scattering (NFS) data using a graphics processing unit (GPU). We introduce an optimized data management scheme thereby limiting the…
Giovanni Cerchiari, Fabrizio Croccolo, Frédéric Cardinaux et al.Sep 15, 2012
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Extraction of hidden information by efficient community detection in networks
Currently, we are overwhelmed by a deluge of experimental data, and network physics has the potential to become an invaluable method to increase our understanding of large interacting datasets.…
Juyong Lee, Steven P. Gross, Jooyoung LeeSep 13, 2012
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Head/tail Breaks: A New Classification Scheme for Data with a Heavy-tailed Distribution
This paper introduces a new classification scheme - head/tail breaks - in order to find groupings or hierarchy for data with a heavy-tailed distribution. The heavy-tailed distributions are heavily…
Bin JiangSep 13, 2012
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Potential fitting biases resulting from grouping data into variable width bins
When reading peer-reviewed scientific literature describing any analysis of empirical data, it is natural and correct to proceed with the underlying assumption that experiments have made good faith…
S. TowersSep 12, 2012
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Maximum likelihood reconstruction for Ising models with asynchronous updates
We describe how the couplings in an asynchronous kinetic Ising model can be inferred. We consider two cases, one in which we know both the spin history and the update times and one in which we only…
Hong-Li Zeng, Mikko Alava, Erik Aurell et al.Sep 11, 2012
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Information content versus word length in random typing
Recently, it has been claimed that a linear relationship between a measure of information content and word length is expected from word length optimization and it has been shown that this linearity…
Ramon Ferrer-i-Cancho, Fermín Moscoso del Prado MartínSep 8, 2012
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A Variational Method in Out of Equilibrium Physical Systems
A variational principle is further developed for out of equilibrium dynamical systems by using the concept of maximum entropy. With this new formulation it is obtained a set of two first-order…
Mario J. PinheiroSep 7, 2012
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Local Warming
Using 55 years of daily average temperatures from a local weather station, I made a least-absolute-deviations (LAD) regression model that accounts for three effects: seasonal variations, the 11-year…
Robert J. VanderbeiSep 4, 2012
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Dynamical networks reconstructed from time series
Novel method of reconstructing dynamical networks from empirically measured time series is proposed. By examining the variable--derivative correlation of network node pairs, we derive a simple…
Zoran LevnajićSep 2, 2012
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Estimating the historical and future probabilities of large terrorist events
Quantities with right-skewed distributions are ubiquitous in complex social systems, including political conflict, economics and social networks, and these systems sometimes produce extremely large…
Aaron Clauset, Ryan WoodardSep 1, 2012
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Anchoring Bias in Online Voting
Voting online with explicit ratings could largely reflect people's preferences and objects' qualities, but ratings are always irrational, because they may be affected by many unpredictable…
Zimo Yang, Zi-Ke Zhang, Tao ZhouSep 1, 2012
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From the time series to the complex networks: the parametric (dynamical) natural visibility graph
We present the modification of natural visibility graph (NVG) algorithm used for the mapping of the time series to the complex networks (graphs). We propose the parametric natural visibility graph…
I. V. Bezsudnov, A. A. SnarskiiAug 31, 2012
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Comments to the article "Parametric fitting of data obtained from detectors with finite resolution and limited acceptance" [arXiv:1011.0662] by Gagunashvili
The publication by Gagunashvili [arXiv:1011.0662] suffers from several caveats: i) The method is based upon the false assumption that the median of chi square distributed random variables is chi…
G. Bohm, G. ZechAug 31, 2012
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Generalized Hurst exponent and multifractal function of original and translated texts mapped into frequency and length time series
A nonlinear dynamics approach can be used in order to quantify complexity in written texts. As a first step, a one-dimensional system is examined : two written texts by one author (Lewis Carroll) are…
Marcel AusloosAug 30, 2012
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