Skip to content

Data Analysis papers — page 62

physics.data-anBrowse archive

A note on the best invariant estimation of continuous probability distributions under mean square loss
We consider the nonparametric estimation problem of continuous probability distribution functions. For the integrated mean square error we provide the statistic corresponding to the best invariant…
Thomas SchürmannOct 21, 2015
Learn
Online Unmixing of Multitemporal Hyperspectral Images accounting for Spectral Variability
Hyperspectral unmixing is aimed at identifying the reference spectral signatures composing an hyperspectral image and their relative abundance fractions in each pixel. In practice, the identified…
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves TourneretOct 20, 2015
Learn
Structure of force networks in tapped particulate systems of disks and pentagons (Part 2): Persistence analysis
In the companion paper~paper1, we use classical measures based on force probability density functions (PDFs), as well as Betti numbers (quantifying the number of components, related to force…
L. Kondic, M. Kramar, L. A. Pangolin et al.Oct 14, 2015
Learn
Coupled uncertainty provided by a multifractal random walker
The aim here is to study the concept of pairing multifractality between time series possessing non-Gaussian distributions. The increasing number of rare events creates "criticality". We show…
Z. Koohi Lai, S. Vasheghani Farahani, S. M. S. Movahed et al.Oct 11, 2015
Learn
Data-driven prediction and prevention of extreme events in a spatially extended excitable system
Extreme events occur in many spatially extended dynamical systems, often devastatingly affecting human life which makes their reliable prediction and efficient prevention highly desirable. We study…
Stephan Bialonski, Gerrit Ansmann, Holger KantzOct 8, 2015
Learn
Monotone measures of statistical complexity
We introduce and discuss the notion of monotonicity for the complexity measures of general probability distributions, patterned after the resource theory of quantum entanglement. Then, we explore…
Łukasz Rudnicki, Irene V. Toranzo, Pablo Sanchez-Moreno et al.Oct 6, 2015
Learn
Reaction rate in an evanescent random walkers system
Diffusion mediated reaction models are particularly ubiquitous in the description of physical, chemical or biological processes. The random walk schema is a useful tool for formulating these models.…
Miguel A. Ré, Natalia C. BustosOct 6, 2015
Learn
Time reversibility from visibility graphs of non-stationary processes
Visibility algorithms are a family of methods to map time series into networks, with the aim of describing the structure of time series and their underlying dynamical properties in graph-theoretical…
Lucas Lacasa, Ryan FlanaganOct 5, 2015
Learn
Reproducible Experiment Platform
Data analysis in fundamental sciences nowadays is an essential process that pushes frontiers of our knowledge and leads to new discoveries. At the same time we can see that complexity of those…
Tatiana Likhomanenko, Alex Rogozhnikov, Alexander Baranov et al.Oct 1, 2015
Learn
Optimal Estimation of Recurrence Structures from Time Series
Recurrent temporal dynamics is a phenomenon observed frequently in high-dimensional complex systems and its detection is a challenging task. Recurrence quantification analysis utilizing recurrence…
Peter beim Graben, Kristin K. Sellers, Flavio Fröhlich et al.Sep 30, 2015
Learn
Resolution enhancement by extrapolation of coherent diffraction images: A quantitative study on the limits and a numerical study of non-binary and phase objects
In coherent diffractive imaging (CDI) the resolution of the reconstructed object is limited by the numerical aperture of the experimental setup. We present here a theoretical and numerical study for…
Tatiana Latychevskaia, Yuriy Chushkin, Hans-Werner FinkSep 25, 2015
Learn
Stochastic Bifurcations induced by correlated Noise in a Birhythmic van der Pol System
We investigate the effects of exponentially correlated noise on birhythmic van der Pol type oscillators. The analytical results are obtained applying the quasi-harmonic assumption to the Langevin…
R. Mbakob Yonkeu, R. Yamapi, G. Filatrella et al.Sep 24, 2015
Learn
Bayesian ensemble refinement by replica simulations and reweighting
We describe different Bayesian ensemble refinement methods, examine their interrelation, and discuss their practical application. With ensemble refinement, the properties of dynamic and partially…
Gerhard Hummer, Jürgen KöfingerSep 15, 2015
Learn
Stochastic modeling and performance monitoring of wind farm power production
We present a new stochastic approach to describe and remodel the conversion process of a wind farm at a sampling frequency of 1Hz. When conditioning on various wind direction sectors, the dynamics of…
Patrick Milan, Matthias Wächter, Joachim PeinkeSep 10, 2015
Learn
Frequentist limit setting in effective field theories
The original frequentist approach for computing confidence intervals involves the construction of the confidence belt which provides a mapping of the observation in data into a subset of values for…
Kristian Damlund Gregersen, Jørgen Beck HansenSep 6, 2015
Learn
A method for comparing non-nested models with application to astrophysical searches for new physics
Searches for unknown physics and decisions between competing astrophysical models to explain data both rely on statistical hypothesis testing. The usual approach in searches for new physical…
Sara Algeri, Jan Conrad, David A. van DykSep 3, 2015
Learn
A Hierarchical Bayes Ensemble Kalman Filter
A new ensemble filter that allows for the uncertainty in the prior distribution is proposed and tested. The filter relies on the conditional Gaussian distribution of the state given the model-error…
Michael Tsyrulnikov, Alexander RakitkoSep 2, 2015
Learn
ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization
ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, designed for storing and analyzing petabytes of data in an efficient way. Any instance of a C++ class…
Ilka Antcheva, Maarten Ballintijn, Bertrand Bellenot et al.Aug 31, 2015
Learn
Testing Universality in Critical Exponents: the Case of Rainfall
One of the key clues to consider rainfall as a self-organized critical phenomenon is the existence of power-law distributions for rain-event sizes. We have studied the problem of universality in the…
Anna Deluca, Pedro Puig, Alvaro CorralAug 26, 2015
Learn
Resolving Weak Sources within a Dense Array using a Network Approach
A non-parametric technique to identify weak sources within dense sensor arrays is developed using a network approach. No knowledge about the propagation medium is needed except that signal strengths…
Nima Riahi, Peter GerstoftAug 20, 2015
Learn
Fractional Mellin Transform -- A possible application in CFT
We propose a fractional variant of Mellin's transform which may find an application in the Conformal Field Theory. Its advantage is the presence of an arbitrary parameter which may substantially…
R. A. Treumann, W. BaumjohannAug 19, 2015
Learn
Visualizing long vectors of measurements by use of the Hilbert curve
The use of Hilbert curves to visualize massive vector of data is revisited following previous authors. The Hilbert curve mapping preserves locality and makes meaningful representation of the data. We…
E. Estevez-Rams, C. Perez-Davidenko, B. Aragón Fernández et al.Aug 16, 2015
Learn
Establishing a direct connection between detrended fluctuation analysis and Fourier analysis
To understand methodological features of the detrended fluctuation analysis (DFA) using a higher-order polynomial fitting, we establish the direct connection between DFA and Fourier analysis. Based…
Ken KiyonoAug 10, 2015
Learn
Exploring laser-driven quantum phenomena from a time-frequency analysis perspective: A comprehensive study
Time-frequency (TF) analysis is a powerful tool for exploring ultrafast dynamics in atoms and molecules. While some TF methods have demonstrated their usefulness and potential in several of quantum…
Yae-lin Sheu, Hau-tieng Wu, Liang-Yan HsuAug 9, 2015
Learn
How does noise affect the structure of a chaotic attractor: A recurrence network perspective
We undertake a preliminary numerical investigation to understand how the addition of white and colored noise to a time series affects the topology and structure of the underlying chaotic attractor.…
Rinku Jacob, K. P. Harikrishnan, R. Misra et al.Aug 8, 2015
Learn
← PreviousPage 62Next →