Turbulence modeling by time-series methodsA general model for stationary, time-wise turbulent velocity is presented and discussed. This approach, inspired by modeling ideas of Barndorff-Nielsen and Schimgel, is coherent with the K41…Vincenzo Ferrazzano, Claudia Klüppelberg·May 30, 2012SaveLearn
Recognition of stable distribution with Levy index alpha close to 2We address the problem of recognizing alpha-stable Levy distribution with Levy index close to 2 from experimental data. We are interested in the case when the sample size of available data is not…Krzysztof Burnecki, Agnieszka Wyłomańska, Aleksei Beletskii et al.·May 29, 2012SaveLearn
TUnfold: an algorithm for correcting migration effects in high energy physicsTUnfold is a tool for correcting migration and background effects in high energy physics for multi-dimensional distributions. It is based on a least square fit with Tikhonov regularisation and an…Stefan Schmitt·May 28, 2012SaveLearn
A sampling algorithm to estimate the effect of fluctuations in particle physics dataBackground properties in experimental particle physics are typically estimated using large data sets. However, different events can exhibit different features because of the quantum mechanical nature…Federico Colecchia·May 26, 2012SaveLearn
A Development Environment for Visual Physics AnalysisThe Visual Physics Analysis (VISPA) project integrates different aspects of physics analyses into a graphical development environment. It addresses the typical development cycle of (re-)designing,…H. -P. Bretz, M. Brodski, M. Erdmann et al.·May 22, 2012SaveLearn
Data analysis recipes: Probability calculus for inferenceIn this pedagogical text aimed at those wanting to start thinking about or brush up on probabilistic inference, I review the rules by which probability distribution functions can (and cannot) be…David W. Hogg·May 20, 2012SaveLearn
A Symplectic Method to Generate Multivariate Normal DistributionsThe AMAS group at the Paul Scherrer Institute developed an object oriented library for high performance simulation of high intensity ion beam transport with space charge. Such particle-in-cell (PIC)…Christian Baumgarten·May 16, 2012SaveLearn
Texture Analysis And Characterization Using Probability Fractal DescriptorsA gray-level image texture descriptors based on fractal dimension estimation is proposed in this work. The proposed method estimates the fractal dimension using probability (Voss) method. The…J. B. Florindo, O. M. Bruno·May 13, 2012SaveLearn
Hamiltonian Monte Carlo with Reduced Momentum FlipsHamiltonian Monte Carlo (or hybrid Monte Carlo) with partial momentum refreshment explores the state space more slowly than it otherwise would due to the momentum reversals which occur on proposal…Jascha Sohl-Dickstein·May 9, 2012SaveLearn
Implicit particle methods and their connection with variational data assimilationThe implicit particle filter is a sequential Monte Carlo method for data assimilation that guides the particles to the high-probability regions via a sequence of steps that includes minimizations. We…Ethan Atkins, Matthias Morzfeld, Alexandre J. Chorin·May 8, 2012SaveLearn
Extended Kramers-Moyal analysis applied to optical trappingThe Kramers-Moyal analysis is a well established approach to analyze stochastic time series from complex systems. If the sampling interval of a measured time series is too low, systematic errors…Christoph Honisch, Rudolf Friedrich, Florian Hörner et al.·May 7, 2012SaveLearn
The effects of environmental disturbances on tumor growthIn this study, the analytic expressions of the steady probability distribution of tumor cells were established based on the steady state solution to the corresponding Fokker-Planck equation. Then,…Ning Xing Wang, Xiao Miao Zhang, Xiao Bing Han·May 1, 2012SaveLearn
Statistical Uncertainty in Line Shift and Width InterpretationA general mathematical derivation is given of the uncertainty arising from photon statistics in spectroscopic determination of line shift and width, in the presence of a background spectrum.I H Hutchinson·Apr 28, 2012SaveLearn
A Not-So-Fundamental Limitation on Studying Complex Systems with Statistics: Comment on Rabin (2011)Although living organisms are affected by many interrelated and unidentified variables, this complexity does not automatically impose a fundamental limitation on statistical inference. Nor need one…Drew M. Thomas·Apr 27, 2012SaveLearn
Superluminal neutrinos and quantum cross-correlation theory of neutrino source locationBased on the developed cross-correlation theory for remote location of neutrino source with two-detector setup for neutrino detection the modification of arrangement of the OPERA experiment is…V. D. Rusov, V. I. Vysotskii, V. A. Tarasov et al.·Apr 24, 2012SaveLearn
Microcanonical processing methodology for ECG and intracardial potential: application to atrial fibrillationCardiac diseases are the principal cause of human morbidity and mortality in the western world. The electric potential of the heart is a highly complex signal emerging as a result of nontrivial flow…Oriol Pont, Michel Haïssaguerre, Hussein Yahia et al.·Apr 18, 2012SaveLearn
On Stochastic Error and Computational Efficiency of the Markov Chain Monte Carlo MethodIn Markov Chain Monte Carlo (MCMC) simulations, the thermal equilibria quantities are estimated by ensemble average over a sample set containing a large number of correlated samples. These samples…J. Li, P. Vignal, S. Sun et al.·Apr 14, 2012SaveLearn
Moving Taylor Bayesian Regression for nonparametric multidimensional function estimation with possibly correlated errorsWe present a nonparametric method for estimating the value and several derivatives of an unknown, sufficiently smooth real-valued function of real-valued arguments from a finite sample of points,…Jobst Heitzig·Apr 12, 2012SaveLearn
Atomic structure of a single large biomolecule from diffraction patterns of random orientationsThe short and intense pulses of the new X-ray free electron lasers, now operational or under construction, may make possible diffraction experiments on single molecule-sized objects with high…Miklós Tegze, Gábor Bortel·Apr 10, 2012SaveLearn
Prediction of Catastrophes: an experimental modelCatastrophes of all kinds can be roughly defined as short duration-large amplitude events following and followed by long periods of "ripening". Major earthquakes surely belong to the class of…Randall D. Peters, Martine Le Berre, Yves Pomeau·Apr 6, 2012SaveLearn
Particle filtering in high-dimensional chaotic systemsWe present an efficient particle filtering algorithm for multiscale systems, that is adapted for simple atmospheric dynamics models which are inherently chaotic. Particle filters represent the…Nishanth Lingala, N. Sri Namachchivaya, Nicolas Perkowski et al.·Apr 5, 2012SaveLearn
Inhomogeneity of the phase space of the damped harmonic oscillator under Levy noiseThe damped harmonic oscillator under symmetric Lévy white noise shows inhomogeneous phase space, which is in contrast to the homogeneous one of the same oscillator under the Gaussian white noise, as…Zhan Cao, Yu-Feng Wang, Hong-Gang Luo·Apr 3, 2012SaveLearn
Patterns of Regional Travel Behavior: An Analysis of Japanese Hotel Reservation DataThis study considers the availability of room opportunities collected from a Japanese hotel booking site. We empirically analyze the daily number of room opportunities for four areas. To determine…Aki-Hiro Sato·Apr 2, 2012SaveLearn
Impact of the Great East Japan Earthquake on Hotel Industry in Pacific Tohoku Prefectures: From spatio-temporal dependence of hotel availabilityThis paper investigates the impact of the Great Japan Earthquake (and subsequent tsunami turmoil) on socio-economic activities by using data on hotel opportunities collected from an electronic hotel…Aki-Hiro Sato·Apr 2, 2012SaveLearn
On the Temporal Distribution of Casualties and Determination of Medical Logistical RequirementsIt is demonstrated that World War II casualty data display statistical structure that would be expected from multifractal data. Given that the data displayed these properties, it is shown how the…Michael Kyle Lauren·Mar 31, 2012SaveLearn