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Data Analysis papers — page 114

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Detecting synchronization clusters in multivariate time series via coarse-graining of Markov chains
Synchronization cluster analysis is an approach to the detection of underlying structures in data sets of multivariate time series, starting from a matrix R of bivariate synchronization indices. A…
Carsten Allefeld, Stephan BialonskiJul 17, 2007
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A fast multilevel algorithm for graph clustering and community detection
One of the most useful measures of cluster quality is the modularity of a partition, which measures the difference between the number of the edges joining vertices from the same cluster and the…
Hristo DjidjevJul 16, 2007
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Probability Distributions in Complex Systems
We review briefly the concepts underlying complex systems and probability distributions. The later are often taken as the first quantitative characteristics of complex systems, allowing one to detect…
D. SornetteJul 15, 2007
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Modularity and community detection in bipartite networks
The modularity of a network quantifies the extent, relative to a null model network, to which vertices cluster into community groups. We define a null model appropriate for bipartite networks, and…
Michael J. BarberJul 11, 2007
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Bayesian Learning of Neural Networks for Signal/Background Discrimination in Particle Physics
Neural networks are used extensively in classification problems in particle physics research. Since the training of neural networks can be viewed as a problem of inference, Bayesian learning of…
Michael Pogwizd, Laura Jane Elgass, Pushpalatha C. BhatJul 6, 2007
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Spatial Topology and its Structural Analysis based on the Concept of Simplicial Complex
This paper introduces a model that identifies spatial relationships for a structural analysis based on the concept of simplicial complex. The spatial relationships are identified through overlapping…
Bin Jiang, Itzhak OmerJul 6, 2007
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Evaluating Local Community Methods in Networks
We present a new benchmarking procedure that is unambiguous and specific to local community-finding methods, allowing one to compare the accuracy of various methods. We apply this to new and existing…
James P. BagrowJun 26, 2007
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Comments on the Unified approach to the construction of Classical confidence intervals
The paper comments on properties of the so-called "Unified approach to the construction of classical confidence intervals", in which confidence intervals are computed in a Neyman construction…
W. Wittek, H. Bartko, N. Galante et al.Jun 25, 2007
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Eigenvalue Decomposition as a Generalized Synchronization Cluster Analysis
Motivated by the recent demonstration of its use as a tool for the detection and characterization of phase-shape correlations in multivariate time series, we show that eigenvalue decomposition can…
Carsten Allefeld, Markus Müller, Jürgen KurthsJun 22, 2007
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Approche variationnelle pour le calcul bayésien dans les problèmes inverses en imagerie
In a non supervised Bayesian estimation approach for inverse problems in imaging systems, one tries to estimate jointly the unknown image pixels and the hyperparameters θb. This is, in…
Ali Mohammad-DjafariJun 13, 2007
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Statistics of football dynamics
We investigate the dynamics of football matches. Our goal is to characterize statistically the temporal sequence of ball movements in this collective sport game, searching for traits of complex…
R. S. Mendes, L. C. Malacarne, C. AnteneodoJun 12, 2007
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A discriminative method to conduct exploratory analyses in networks
This paper, which commented on Newman and Leicht's "Mixture models and exploratory analysis in networks" (2007, PNAS 104, 9564-9569), has been withdrawn. The reason for this removal is…
Segismundo S. Izquierdo, Luis R. IzquierdoJun 11, 2007
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Power-law distributions in empirical data
Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately, the detection and…
Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. NewmanJun 7, 2007
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An Algorithm for the Continuous Morlet Wavelet Transform
This article consists of a brief discussion of the energy density over time or frequency that is obtained with the wavelet transform. Also an efficient algorithm is suggested to calculate the…
Richard BuessowJun 1, 2007
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Kullback-Leibler distance as a measure of the information filtered from multivariate data
We show that the Kullback-Leibler distance is a good measure of the statistical uncertainty of correlation matrices estimated by using a finite set of data. For correlation matrices of multivariate…
Michele Tumminello, Fabrizio Lillo, Rosario Nunzio MantegnaJun 1, 2007
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Luminosity determination at HERA-B
A detailed description of an original method used to measure the luminosity accumulated by the HERA-B experiment for a data sample taken during the 2002-2003 HERA running period is reported. We show…
B CollaborationJun 1, 2007
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Scale-free avalanches in the multifractal random walk
Avalanches, or Avalanche-like, events are often observed in the dynamical behaviour of many complex systems which span from solar flaring to the Earth's crust dynamics and from traffic flows to…
M. BartolozziMay 30, 2007
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Optimal estimate of probability density functions from experimental data
A method providing optimal estimate of probability density functions (PDFs) from time series is proposed. It allows almost arbitrary resolution PDFs when applied to either, sampled analytic functions…
R. LabbéMay 29, 2007
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Augmented Sparse Reconstruction of Protein Signaling Networks
The problem of reconstructing and identifying intracellular protein signaling and biochemical networks is of critical importance in biology today. We sought to develop a mathematical approach to this…
D. Napoletani, T. Sauer, D. C. Struppa et al.May 28, 2007
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Non extensive statistic of Tsallis in the heartbeat of healthy humans
It is studied the MIT-BIH Normal Sinus Rhythm Database using a statistical technique of analysis, that is based on the Wavelet and Hilbert Transforms. With that technique, it was previously found,…
P. A. RittoMay 25, 2007
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On a generalised model for time-dependent variance with long-term memory
The ARCH process (R. F. Engle, 1982) constitutes a paradigmatic generator of stochastic time series with time-dependent variance like it appears on a wide broad of systems besides economics in which…
Silvio M. Duarte QueirosMay 23, 2007
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Inverse problems in imaging systems and the general Bayesian inversion frawework
In this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. Then a common general forward modeling for…
Ali Mohammad-DjafariMay 18, 2007
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Computed tomography image reconstruction from only two projections
English: This paper concerns the image reconstruction from a few projections in Computed Tomography (CT). The main objective of this paper is to show that the problem is so ill posed that no…
Ali Mohammad-DjafariMay 18, 2007
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Noise characteristics of 3D time-of-flight cameras
Time-of-flight (TOF) cameras are based on a new technology that delivers distance maps by the use of a modulated light source. In this paper we first describe a set of experiments that we performed…
Dragos Falie, Vasile BuzuloiuMay 18, 2007
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Bayesian Separation of Document Images with Hidden Markov Model
this paper we consider the problem of separating noisy instantaneous linear mixtures of document images in the Bayesian framework. The source image is modeled hierarchically by a latent labeling…
Feng Su, Ali Mohammad-DjafariMay 17, 2007
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