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Data Analysis papers — page 93

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Harmonic Oscillator in Heat Bath: Exact simulation of time-lapse-recorded data, exact analytical benchmark statistics
The stochastic dynamics of the damped harmonic oscillator in a heat bath is simulated with an algorithm that is exact for time steps of arbitrary size. Exact analytical results are given for…
Simon F. Norrelykke, Henrik FlyvbjergFeb 2, 2011
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Reverse engineering of complex dynamical networks in the presence of time-delayed interactions based on noisy time series
Reverse engineering of complex dynamical networks is important for a variety of fields where uncovering the full topology of unknown networks and estimating parameters characterizing the network…
Wen-Xu Wang, Jie Ren, Ying-Cheng Lai et al.Jan 31, 2011
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Construction of Ito model for Geoelectrical Signals
Ito stochastic differential equation governs one-dimensional diffusive Markov process. Geoelectrical signals measured in seismic areas can be considered as the result of competitive and collective…
Zbigniew Czechowski, Luciano TelescaJan 28, 2011
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Collective Motion of Inelastic Particles between Two Oscillating Walls
This study theoretically considers the motion of N identical inelastic particles between two oscillating walls. The particles' average energy increases abruptly at certain critical filling…
Fei Fang Chung, Sy-Sang Liaw, Wei Chun ChangJan 28, 2011
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Robustness of Estimators of Long-Range Dependence and Self-Similarity under non-Gaussianity
Long-range dependence and non-Gaussianity are ubiquitous in many natural systems like ecosystems, biological systems and climate. However, it is not always appreciated that both phenomena may occur…
Christian L. E. Franzke, Timothy Graves, Nicholas W. Watkins et al.Jan 26, 2011
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A Complex Networks Approach for Data Clustering
Many methods have been developed for data clustering, such as k-means, expectation maximization and algorithms based on graph theory. In this latter case, graphs are generally constructed by taking…
Francisco A. Rodrigues, Guilherme Ferraz de Arruda, Luciano da Fontoura CostaJan 26, 2011
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Node-weighted measures for complex networks with spatially embedded, sampled, or differently sized nodes
When network and graph theory are used in the study of complex systems, a typically finite set of nodes of the network under consideration is frequently either explicitly or implicitly considered…
Jobst Heitzig, Jonathan F. Donges, Yong Zou et al.Jan 25, 2011
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Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs
We theoretically study semi-supervised clustering in sparse graphs in the presence of pairwise constraints on the cluster assignments of nodes. We focus on bi-cluster graphs, and study the impact of…
Greg Ver Steeg, Aram Galstyan, Armen E. AllahverdyanJan 21, 2011
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Reducing the Bias of Causality Measures
Measures of the direction and strength of the interdependence between two time series are evaluated and modified in order to reduce the bias in the estimation of the measures, so that they give zero…
A. Papana, D. Kugiumtzis, P. G. LarssonJan 18, 2011
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On the interpolation of univariate distributions
This note discusses an interpolation technique for univariate distributions. In other words, the question is how to obtain a good approximation for f(x|a) if a0 < a < a1 is a control variable and…
Hans P. DembinskiJan 17, 2011
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Rotated multifractal network generator
The recently introduced multifractal network generator (MFNG), has been shown to provide a simple and flexible tool for creating random graphs with very diverse features. The MFNG is based on…
G. Palla, P. Pollner, T. VicsekJan 12, 2011
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Matrix Element Method in HEP: Transfer Functions, Efficiencies, and Likelihood Normalization
This article surveys the procedures used for deriving detector transfer functions and normalizing probability densities for the statistical analysis technique known as the "matrix element…
Igor VolobouevJan 12, 2011
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Reliability of optimal linear projection of growing scale-free networks
Singular Value Decomposition (SVD) is a technique based on linear projection theory, which has been frequently used for data analysis. It constitutes an optimal (in the sense of least squares)…
Pau Erola, Javier Borge-Holthoefer, Sergio Gomez et al.Jan 11, 2011
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Mesoscopic analysis of networks: applications to exploratory analysis and data clustering
We investigate the adaptation and performance of modularity-based algorithms, designed in the scope of complex networks, to analyze the mesoscopic structure of correlation matrices. Using a…
Clara Granell, Sergio Gomez, Alex ArenasJan 10, 2011
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Unsupervised clustering analysis: a multiscale complex networks approach
Unsupervised clustering, also known as natural clustering, stands for the classification of data according to their similarities. Here we study this problem from the perspective of complex networks.…
Clara Granell, Sergio Gomez, Alex ArenasJan 10, 2011
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Phase retrieval from single biomolecule diffraction pattern
In this paper, we propose the SPR (sparse phase retrieval) method, which is a new phase retrieval method for coherent x-ray diffraction imaging (CXDI). Conventional phase retrieval methods…
Shiro Ikeda, Hidetoshi KonoJan 7, 2011
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Identification of earthquake precursors in the hydrogeochemical and geoacoustic data for the Kamchatka peninsula by flicker-noise spectroscopy
A phenomenological systems approach for identifying potential precursors in multiple signals of different types for the same local seismically active region is proposed based on the assumption that a…
G. V. Ryabinin, Yu. S. Polyakov, V. A. Gavrilov et al.Jan 7, 2011
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Pros and cons of the technique of processing IRMS data as desired-delta values: uncertainty and comparability in results, a case study for determining carbon and oxygen isotopic abundance ratios as CO2+
In isotope ratio mass spectrometry (IRMS), any sample (S) measurement is performed as a relative-difference ((S/W)di) from a working-lab-reference (W), but the result is evaluated relative to a…
B. P. DattaJan 5, 2011
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Generalized Methods and Solvers for Noise Removal from Piecewise Constant Signals
Removing noise from piecewise constant (PWC) signals, is a challenging signal processing problem arising in many practical contexts. For example, in exploration geosciences, noisy drill hole records…
Max A. Little, Nick S. JonesJan 4, 2011
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Composite gravitational-wave detection of compact binary coalescence
The detection of gravitational waves from compact binaries relies on a computationally burdensome processing of gravitational-wave detector data. The parameter space of compact-binary-coalescence…
Kipp Cannon, Chad Hanna, Drew Keppel et al.Jan 3, 2011
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On hypothesis testing, trials factor, hypertests and the BumpHunter
A detailed presentation of hypothesis testing is given. The "look elsewhere" effect is illustrated, and a treatment of the trials factor is proposed with the introduction of hypothesis…
Georgios ChoudalakisJan 2, 2011
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High Throughput Software for Powder Diffraction and its Application to Heterogeneous Catalysis
In this thesis we investigate high throughput computational methods for processing large quantities of data collected from synchrotrons and their application to spectral analysis of powder…
Taha SochiDec 20, 2010
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Scaling Mobility Patterns and Collective Movements: Deterministic Walks in Lattices
Scaling mobility patterns have been widely observed for animals. In this paper, we propose a deterministic walk model to understand the scaling mobility patterns, where walkers take the least-action…
Xiao-Pu Han, Tao Zhou, Bing-Hong WangDec 17, 2010
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Topics in statistical data analysis for high-energy physics
These lectures concern two topics that are becoming increasingly important in the analysis of High Energy Physics (HEP) data: Bayesian statistics and multivariate methods. In the Bayesian approach we…
G. CowanDec 16, 2010
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Monte Carlo uncertainty estimation for wavelength calibration
CIPM published the Supplement I for GUM in 2008 as not only an alternative approach to estimate the uncertainty for a given calibration measurement but also as a proper uncertainty estimation one,…
Thang H. L., Nguyen D. D., Dung D. N.Dec 13, 2010
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