Nonlinear Sampling and Lebesgue's Integral SumsWe consider nonlinear, or "event-dependent", sampling, i.e. such that the sampling instances tk depend on the function being sampled. The use of such sampling in the construction of…Emanuel Gluskin·Sep 6, 2010SaveLearn
The RooStats ProjectRooStats is a project to create advanced statistical tools required for the analysis of LHC data, with emphasis on discoveries, confidence intervals, and combined measurements. The idea is to provide…Lorenzo Moneta, Kevin Belasco, Kyle Cranmer et al.·Sep 6, 2010SaveLearn
Coherent Patterns in Nuclei and in Financial MarketsIn the area of traditional physics the atomic nucleus belongs to the most complex systems. It involves essentially all elements that characterize complexity including the most distinctive one whose…S. Drozdz, J. Kwapien, J. Speth·Sep 6, 2010SaveLearn
Bayesian theory of systematic measurement deviationsConcerning systematic effects, the recommendation given in the GUM is to correct for them, but unfortunately no detailed information is available, how to do this. This publication will show, how…Michael Krystek·Sep 5, 2010SaveLearn
Noise Corruption of Empirical Mode Decomposition and Its Effect on Instantaneous FrequencyHuang's Empirical Mode Decomposition (EMD) is an algorithm for analyzing nonstationary data that provides a localized time-frequency representation by decomposing the data into adaptively defined…Daniel N. Kaslovsky, Francois G. Meyer·Aug 22, 2010SaveLearn
A Test for Equality of Distributions in High DimensionsWe present a method which tests whether or not two datasets (one of which could be Monte Carlo generated) might come from the same distribution. Our method works in arbitrarily high dimensions.Wolfgang Rolke, Angel Lopez·Aug 17, 2010SaveLearn
From Univariate to Multivariate Uncertainty CalculationThe Guide to the Expression of Uncertainty in Measurement (GUM) mainly deals with measurement models having only a single output quantity. However, in many cases more than one output quantity is…Michael P. Krystek·Aug 16, 2010SaveLearn
Bertrand's paradox: a physical solutionWe present a conclusive answer to Bertrand's paradox, a long standing open issue in the basic physical interpretation of probability. The paradox deals with the existence of mutually inconsistent…P. Di Porto, B. Crosignani, A. Ciattoni et al.·Aug 11, 2010SaveLearn
A Bayesian Foundation for Physical TheoriesBayesian probability theory is used as a framework to develop a formalism for the scientific method based on principles of inductive reasoning. The formalism allows for precise definitions of the key…Roberto C. Alamino·Aug 10, 2010SaveLearn
TimeSeriesStreaming.vi: LabVIEW program for reliable data streaming of large analog time seriesWith modern data acquisition devices that work fast and very precise, scientists often face the task of dealing with huge amounts of data. These need to be rapidly processed and stored onto a hard…Fabian Czerwinski, Lene B. Oddershede·Aug 8, 2010SaveLearn
Interpretations of Negative ProbabilitiesIn this paper, we give a frequency interpretation of negative probability, as well as of extended probability, demonstrating that to a great extent, these new types of probabilities, behave as…Mark Burgin·Aug 6, 2010SaveLearn
Identification of Overlapping Communities by Locally Calculating Community-Changing Resolution LevelsAn algorithm for the detection of overlapping natural communities in networks was proposed by Lancichinetti, Fortunato, and Kertesz (LFK) last year. The LFK algorithm constructs natural communities…Frank Havemann, Michael Heinz, Alexander Struck et al.·Aug 5, 2010SaveLearn
Lower Bounds on Mutual InformationWe correct claims about lower bounds on mutual information (MI) between real-valued random variables made in A. Kraskov et al., Phys. Rev. E 69, 066138 (2004). We show that non-trivial…David V. Foster, Peter Grassberger·Aug 4, 2010SaveLearn
Interplay between positive feedbacks in the generalized CEV processThe dynamics of the generalized CEV process dXt = aXtn dt+ bXtm dWt (gCEV) is due to an interplay of two feedback mechanisms: State-to-Drift and State-to-Diffusion, whose degrees are…St. Reimann, V. Gontis, M. Alaburda·Aug 3, 2010SaveLearn
Noise-based deterministic logic and computing: a brief surveyA short survey is provided about our recent explorations of the young topic of noise-based logic. After outlining the motivation behind noise-based computation schemes, we present a short summary of…Laszlo B. Kish, Sunil P. Khatri, Sergey M. Bezrukov et al.·Jul 29, 2010SaveLearn
Revealing intermittency in experimental data with steep power spectraThe statistics of signal increments are commonly used in order to test for possible intermittent properties in experimental or synthetic data. However, for signals with steep power spectra [i.e.,…Eric Falcon, S. G. Roux, Benjamin Audit·Jul 22, 2010SaveLearn
Strategies for processing diffraction data from randomly oriented particlesThis note compares the single-shot and intensity cross-correlation proposals for x-ray imaging of randomly oriented particles and shows very directly that the latter will usually not be feasible even…Veit Elser·Jul 22, 2010SaveLearn
Optimal random search for a single hidden targetA single target is hidden at a location chosen from a predetermined probability distribution. Then, a searcher must find a second probability distribution from which random search points are sampled…Joseph Snider·Jul 21, 2010SaveLearn
Exploring the Manifold of Seismic Waves: Application to the Estimation of Arrival-TimesWe propose a new method to analyze seismic time series and estimate the arrival-times of seismic waves. Our approach combines two ingredients: the times series are first lifted into a…Kye M. Taylor, Michael J. Procopio, Christopher J. Young et al.·Jul 21, 2010SaveLearn
Locating a weak change using diffuse waves (LOCADIFF) : theoretical approach and inversion procedureWe describe a time-resolved monitoring technique for heterogeneous media. Our approach is based on the spatial variations of the cross-coherence of coda waveforms acquired at fixed positions but at…Vincent Rossetto, Ludovic Margerin, Thomas Planès et al.·Jul 19, 2010SaveLearn
Asymptotic formulae for likelihood-based tests of new physicsWe describe likelihood-based statistical tests for use in high energy physics for the discovery of new phenomena and for construction of confidence intervals on model parameters. We focus on the…Glen Cowan, Kyle Cranmer, Eilam Gross et al.·Jul 10, 2010SaveLearn
Calculating the Exact Pooled VarianceAn exact method of calculating the variance of a pooled data set is presented. Its major advantages over the many other methods are that it is simple, is easily derived and remembered, and requires…Joseph W. Rudmin·Jul 6, 2010SaveLearn
Human activity as the decision-based queueing process: statistical data analysis of waiting times in scientific journalsWe consider the editorial processing of papers in scientific journals as a human activity process based on the decision making. A functional form of the probability distributions of random variables…O. Mryglod, Yu. Holovatch·Jul 6, 2010SaveLearn
Organisation of signal flow in directed networksConfining an answer to the question whether and how the coherent operation of network elements is determined by the the network structure is the topic of our work. We map the structure of signal flow…M. Bányai, L. Négyessy, F. Bazsó·Jul 4, 2010SaveLearn
How to compare diffusion processes assessed by single-particle tracking and pulsed field gradient nuclear magnetic resonanceHeterogeneous diffusion processes occur in many different fields such as transport in living cells or diffusion in porous media. A characterization of the transport parameters of such processes can…Michael Bauer, Rustem Valiullin, Günter Radons et al.·Jun 30, 2010SaveLearn