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Data Analysis papers — page 103

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Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks
We study the global topology of the syntactic and semantic distributional similarity networks for English through the technique of spectral analysis. We observe that while the syntactic network has a…
Chris Biemann, Monojit Choudhury, Animesh MukherjeeJun 8, 2009
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Kolmogorov-Smirnov method for the determination of signal time-shifts
A new method for the determination of electric signal time-shifts is introduced. As the Kolmogorov-Smirnov test, it is based on the comparison of the cumulative distribution functions of the…
P. Desesquelles, T. M. H. Ha, A. Korichi et al.Jun 6, 2009
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Matrix formalism and singular-value decomposition for the location of gamma interactions in segmented HPGe detectors
Modern coaxial and planar HPGe detectors allow a precise determination of the energies and trajectories of the impinging gamma-rays. This entails the location of the gamma interactions inside the…
P. Desesquelles, T. M. H. Ha, K. Hauschild et al.Jun 6, 2009
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Analysis of major failures in Europe's power grid
Power grids are prone to failure. Time series of reliability measures such as total power loss or energy not supplied can give significant account of the underlying dynamical behavior of these…
Martí Rosas-Casals, Ricard SoléJun 5, 2009
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RooStatsCms: a tool for analysis modelling, combination and statistical studies
RooStatsCms is an object oriented statistical framework based on the RooFit technology. Its scope is to allow the modelling, statistical analysis and combination of multiple search channels for new…
Danilo Piparo, Gregory Schott, Gunter QuastMay 28, 2009
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Finite sampling interval effects in Kramers-Moyal analysis
Large sampling intervals can affect reconstruction of Kramers-Moyal coefficients from data. A new method, which is direct, non-stochastic and exact up to numerical accuracy, can estimate these…
Steven J. LadeMay 27, 2009
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Upper Limits from Counting Experiments with Multiple Pipelines
In counting experiments, one can set an upper limit on the rate of a Poisson process based on a count of the number of events observed due to the process. In some experiments, one makes several…
Patrick J. SuttonMay 26, 2009
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Chi-Square Tests for Comparing Weighted Histograms
Weighted histograms in Monte Carlo simulations are often used for the estimation of probability density functions. They are obtained as a result of random experiments with random events that have…
N. D. GagunashviliMay 26, 2009
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A New Methodology for Generalizing Unweighted Network Measures
Several important complex network measures that helped discovering common patterns across real-world networks ignore edge weights, an important information in real-world networks. We propose a new…
Sherief AbdallahMay 26, 2009
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Frequentist Evaluation of Intervals Estimated for a Binomial Parameter and for the Ratio of Poisson Means
Confidence intervals for a binomial parameter or for the ratio of Poisson means are commonly desired in high energy physics (HEP) applications such as measuring a detection efficiency or branching…
Robert D. Cousins, Kathryn E. Hymes, Jordan TuckerMay 24, 2009
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Scaling and memory in recurrence intervals of Internet traffic
By studying the statistics of recurrence intervals, τ, between volatilities of Internet traffic rate changes exceeding a certain threshold q, we find that the probability distribution functions,…
Shi-Min Cai, Zhong-Qian Fu, Tao Zhou et al.May 24, 2009
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Effective and Efficient Similarity Index for Link Prediction of Complex Networks
Predictions of missing links of incomplete networks like protein-protein interaction networks or very likely but not yet existent links in evolutionary networks like friendship networks in web…
Linyuan Lv, Ci-Hang Jin, Tao ZhouMay 21, 2009
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Exact corrections for finite-time drift and diffusion coefficients
Real data are constrained to finite sampling rates, which calls for a suitable mathematical description of the corrections to the finite-time estimations of the dynamic equations. Often in the…
C. Anteneodo, R. RieraMay 19, 2009
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A shift-optimized Hill-type estimator
A wide range of natural and social phenomena result in observables whose distributions can be well approximated by a power-law decay. The well-known Hill estimator of the tail exponent provides…
Éva Rácz, János Kertész, Zoltán EislerMay 19, 2009
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Information erasure lurking behind measures of complexity
Complex systems are found in most branches of science. It is still argued how to best quantify their complexity and to what end. One prominent measure of complexity (the statistical complexity) has…
Karoline Wiesner, Mile Gu, Elisabeth Rieper et al.May 18, 2009
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Evaluation of pedodiversity and land use diversity in terms of the Shannon Entropy
Recently, the Shannon entropy, which was introduced originally as a measure of information amount, has been widely used as a useful index of various diversities such as biodiversity and geodiversity.…
Tetsuo Yabuki, Yumi Matsumura, Yoko NakataniMay 18, 2009
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sFit: a method for background subtraction in maximum likelihood fit
This paper presents a statistical method to subtract background in maximum likelihood fit, without relying on any separate sideband or simulation for background modeling. The method, called sFit, is…
Yuehong XieMay 6, 2009
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Evaluation of Mutual Information Estimators for Time Series
We study some of the most commonly used mutual information estimators, based on histograms of fixed or adaptive bin size, k-nearest neighbors and kernels, and focus on optimal selection of their…
Angeliki Papana, Dimitris KugiumtzisApr 30, 2009
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Compressed Remote Sensing of Sparse Objects
The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity guarantee uniqueness of the…
Albert Fannjiang, Pengchong Yan, Thomas StrohmerApr 25, 2009
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Quantum Tsallis entropy and projective measurement
It is well known that projective measurement will not decrease the von Neumann entropy of a quantum state. In this paper, it is shown that projective measurement will not decrease the quantum Tsallis…
Marko V. JankovicApr 24, 2009
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The study of dynamic singularities of seismic signals by the generalized Langevin equation
Analytically and quantitatively we reveal that the GLE equation, based on a memory function approach, in which memory functions and information measures of statistical memory play fundamental role in…
Renat Yulmetyev, Ramil Khusnutdinoff, Timur Tezel et al.Apr 22, 2009
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Stability Variances: A filter Approach
We analyze the Allan Variance estimator as the combination of Discrete-Time linear filters. We apply this analysis to the different variants of the Allan variance: the Overlapping Allan Variance, the…
Alaa Makdissi, François Vernotte, Emeric De ClercqApr 17, 2009
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A reconstruction algorithm for single-particle diffraction imaging experiments
We introduce the EMC algorithm for reconstructing a particle's 3D diffraction intensity from very many photon shot-noise limited 2D measurements, when the particle orientation in each measurement is…
Duane Ne-Te Loh, Veit ElserApr 16, 2009
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Numerical Approach to Central Limit Theorem for Bifurcation Ratio of Random Binary Tree
A central limit theorem for binary tree is numerically examined. Two types of central limit theorem for higher-order branches are formulated. A topological structure of a binary tree is expressed by…
Ken Yamamoto, Yoshihiro YamazakiApr 14, 2009
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Generation-by-Generation Dissection of the Response Function in Long Memory Epidemic Processes
In a number of natural and social systems, the response to an exogenous shock relaxes back to the average level according to a long-memory kernel 1/t1+θ with 0 ≤ θ<1. In the presence…
A. Saichev, D. SornetteApr 6, 2009
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