Nonadditive entropy: the concept and its useThe entropic form Sq is, for any q ≠ 1, nonadditive. Indeed, for two probabilistically independent subsystems, it satisfies $Sq(A+B)/k=[Sq(A)/k]+[Sq(B)/k]+(1-q)[Sq(A)/k][Sq(B)/k]…Constantino Tsallis·Dec 23, 2008SaveLearn
Content-based and Algorithmic Classifications of Journals: Perspectives on the Dynamics of Scientific Communication and Indexer EffectsThe aggregated journal-journal citation matrix -based on the Journal Citation Reports (JCR) of the Science Citation Index- can be decomposed by indexers and/or algorithmically. In this study, we test…Ismael Rafols, Loet Leydesdorff·Dec 23, 2008SaveLearn
Generalized Exponential Function and some of its Applications to Complex SystemsFrom the integration of non-symmetrical hyperboles, a one-parameter generalization of the logarithmic function is obtained. Inverting this function, one obtains the generalized exponential function.…Alexandre Souto Martinez, Rodrigo Silva Gonzalez, Cesar Augusto Sangaletti Tercariol·Dec 16, 2008SaveLearn
Spectral tripartitioning of networksWe formulate a spectral graph-partitioning algorithm that uses the two leading eigenvectors of the matrix corresponding to a selected quality function to split a network into three communities in a…Thomas Richardson, Peter J. Mucha, Mason A. Porter·Dec 15, 2008SaveLearn
Applying Bayesian Neural Network to Determine Neutrino Incoming Direction in Reactor Neutrino Experiments and Supernova Explosion Location by Scintillator DetectorsIn the paper, it is discussed by using Monte-Carlo simulation that the Bayesian Neural Network(BNN) is applied to determine neutrino incoming direction in reactor neutrino experiments and supernova…Weiwei Xu, Ye Xu, Yixiong Meng et al.·Dec 15, 2008SaveLearn
On Statistical Significance of SignalA definition for the statistical significance of a signal in an experiment is proposed by establishing a correlation between the observed p-value and the normal distribution integral probability,…Yong-Sheng Zhu·Dec 15, 2008SaveLearn
Bayesian credible interval construction for Poisson statisticsThe construction of the Bayesian credible (confidence) interval for a Poisson observable including both the signal and background with and without systematic uncertainties is presented. Introducing…Yong-Sheng Zhu·Dec 15, 2008SaveLearn
Enhanced Wavelet Analysis of Solar Magnetic Activity with Comparison to Global Temperature and the Central England Temperature RecordThe continuous wavelet transform may be enhanced by deconvolution with the wavelet response function. After correcting for the cone-of-influence, the power spectral density of the solar magnetic…Robert W. Johnson·Dec 12, 2008SaveLearn
Surrogates with random Fourier PhasesThe method of surrogates is widely used in the field of nonlinear data analysis for testing for weak nonlinearities. The two most commonly used algorithms for generating surrogates are the amplitude…Christoph Raeth, Roberto A. Monetti·Dec 12, 2008SaveLearn
RooStatsCms: a tool for analyses modelling, combination and statistical studiesThe RooStatsCms (RSC) software framework allows analysis modelling and combination, statistical studies together with the access to sophisticated graphics routines for results visualisation. The goal…D. Piparo, Gregory Schott, G. Quast·Dec 11, 2008SaveLearn
Analysis of Discrete Signals with Stochastic Components using Flicker Noise SpectroscopyThe problem of information extraction from discrete stochastic time series, produced with some finite sampling frequency, using flicker-noise spectroscopy, a general framework for information…Serge F. Timashev, Yuriy S. Polyakov·Dec 11, 2008SaveLearn
Using the Notion of Copula in TomographyIn 1917 Johann Radon introduced the Radon transform which is used in 1963 by A. M. Cormack for application in the context of tomographic image reconstruction. He proposed to reconstruct the spatial…Doriano-Boris Pougaza, A. Mohammad-Djafari, Jean-François Bercher·Dec 6, 2008SaveLearn
Mathematical Framework for Fast and Rigorous Track Fit for the ZEUS DetectorIn this note we present a mathematical framework for a rigorous approach to a common track fit for trackers located in the inner region of the ZEUS detector. The approach makes use of the Kalman…Alexander Spiridonov·Dec 5, 2008SaveLearn
Detection of node group membership in networks with group overlapMost networks found in social and biochemical systems have modular structures. An important question prompted by the modularity of these networks is whether nodes can be said to belong to a single…Erin N. Sawardecker, Marta Sales-Pardo, Luís A. Nunes Amaral·Dec 5, 2008SaveLearn
PDE-Foam - a probability-density estimation method using self-adapting phase-space binningProbability Density Estimation (PDE) is a multivariate discrimination technique based on sampling signal and background densities defined by event samples from data or Monte-Carlo (MC) simulations in…Dominik Dannheim, Tancredi Carli, Karl-Johan Grahn et al.·Dec 4, 2008SaveLearn
Introducing the q-Theil indexStarting from the idea of Tsallis on non-extensive statistical mechanics and the q-entropy notion, we recall the Theil index Th and transform it into the Thq index. Both indices can be…Marcel Ausloos, Janusz Miskiewicz·Dec 4, 2008SaveLearn
Review of Flicker Noise Spectroscopy in ElectrochemistryThis review presents the fundamentals of Flicker-Noise Spectroscopy (FNS), a general phenomenological methodology in which the dynamics and structure of complex systems, characterized by nonlinear…Serge F. Timashev, Yuriy S. Polyakov·Nov 28, 2008SaveLearn
The Correlation Function of Multiple Dependent Poisson Processes Generated by the Alternating Renewal Process MethodWe derive conditions under which alternating renewal processes can be used to construct correlated Poisson processes. The pairwise correlation function is also derived, showing that the resulting…Don H. Johnson·Nov 22, 2008SaveLearn
The Fisher's information and quantum-classical field theory: classical statistics similarityThe classical statistics indication for the impossibility to derive quantum mechanics from classical mechanics is proved. The formalism of the statistical Fisher information is used. Next the Fisher…Jacek Syska·Nov 21, 2008SaveLearn
Likelihood method and Fisher information in construction of physical modelsThe subjects of the paper are the likelihood method (LM) and the expected Fisher information (FI) considered from the point od view of the construction of the physical models which originate in the…E. W. Piotrowski, J. Sladkowski, J. Syska et al.·Nov 21, 2008SaveLearn
Statistical analysis of wind speed fluctuation and increments of non-stationary atmospheric boundary layer turbulenceWe study the statistics of the horizontal component of atmospheric boundary layer wind speed. Motivated by its non-stationarity, we investigate which parameters remain constant or can be regarded as…T. Laubrich, F. Ghasemi, J. Peinke et al.·Nov 20, 2008SaveLearn
Functional modularity of background activities in normal and epileptic brain networksWe analyze the connectivity structure of weighted brain networks extracted from spontaneous magnetoencephalographic (MEG) signals of healthy subjects and epileptic patients (suffering from absence…M. Chavez, M. Valencia, V. Navarro et al.·Nov 19, 2008SaveLearn
Evolutionary Construction of Geographical Networks with Nearly Optimal Robustness and Efficient Routing PropertiesRobust and efficient design of networks on a realistic geographical space is one of the important issues for the realization of dependable communication systems. In this paper, based on a percolation…Yukio Hayashi·Nov 18, 2008SaveLearn
A model of underground ridership during the severe outbreaks of the SARS epidemic in a modern cityThe outbreaks of the severe acute respiratory syndrome (SARS) epidemic in 2003 resulted in unprecedented impacts on people's daily life. One of the most significant impacts to people is the risk…Kuo-Ying Wang·Nov 15, 2008SaveLearn
Introducing doubt in Bayesian model comparisonThere are things we know, things we know we don't know, and then there are things we don't know we don't know. In this paper we address the latter two issues in a Bayesian framework,…Glenn D Starkman, Roberto Trotta, Pascal M Vaudrevange·Nov 14, 2008SaveLearn