The time series forecasting: from the aspect of networkForecasting can estimate the statement of events according to the historical data and it is considerably important in many disciplines. At present, time series models have been utilized to solve…S. Chen, X. Lan, Y. Hu et al.·Mar 7, 2014SaveLearn
The Rényi entropy of Lévy distributionThe equivalence between non-extensive C. Tsallis entropy and the extensive entropy introduced by Alfréd Rényi is discussed. The Rényi entropy is studied from the perspective of the geometry of the…Giorgio Sonnino, György Steinbrecher, Alberto Sonnino·Feb 24, 2014SaveLearn
Stochastic analysis of ocean wave states with and without rogue wavesThis work presents an analysis of ocean wave data including rogue waves. A stochastic approach based on the theory of Markov processes is applied. With this analysis we achieve a characterization of…A. Hadjihosseini, J. Peinke, N. P. Hoffmann·Feb 18, 2014SaveLearn
On the combination of correlated estimates of a physics observableThe combination of a number of correlated estimates of a given observable is frequently performed using the Best Linear Unbiased Estimate (BLUE) method. Most features of such a combination can…Richard Nisius·Feb 17, 2014SaveLearn
On a periodicity measure and superoscillationsThe phenomenon of superoscillation, where band limited signals can oscillate over some time period with a frequency higher than the band limit, is not only very interesting but it also seems to offer…Nehemia Schwartz, Moshe Schwartz·Feb 13, 2014SaveLearn
Sensitivity of Yield Optimized SuperoscillationsSuper oscillating signals are band limited signals that oscillate in some region faster than their largest Fourier component. Such signals have many obvious scientific and technological applications,…Moshe Schwartz, Ehud Perlsman·Feb 13, 2014SaveLearn
Statistical early-warning indicators based on Auto-Regressive Moving-Average processesWe address the problem of defining early warning indicators of critical transition. To this purpose, we fit the relevant time series through a class of linear models, known as Auto-Regressive…Davide Faranda, Flavio Maria Emanuele Pons, Bérengère Dubrulle·Feb 12, 2014SaveLearn
Event-triggered feedback in noise-driven phase oscillatorsUsing a stochastic nonlinear phase oscillator model, we study the effect of event-triggered feedback on the statistics of interevent intervals. Events are associated with the entering of a new cycle.…Justus A. Kromer, Benjamin Lindner, Lutz Schimansky-Geier·Jan 31, 2014SaveLearn
Bursting transition in a linear self-exciting point processSelf-exciting point processes describe the manner in which every event facilitates the occurrence of succeeding events. By increasing excitability, the event occurrences start to exhibit bursts even…Tomokatsu Onaga, Shigeru Shinomoto·Jan 21, 2014SaveLearn
Theoretical grounds for the propagation of uncertainties in Monte Carlo particle transportWe introduce a theoretical framework for the calculation of uncertainties affecting observables produced by Monte Carlo particle transport, which derive from uncertainties in physical parameters…Paolo Saracco, Maria Grazia Pia, Matej Batic·Jan 16, 2014SaveLearn
Neutrino mass and Extreme Value Distributions in β-decayWe propose a new application of the Extreme Value Theory for distributions with compact support. The novelty of our proposal is the use of these tools to estimate the neutrino mass from the energy…J. G. Esteve, F. Falceto·Jan 8, 2014SaveLearn
Structural patterns in complex systems using multidendrogramsComplex systems are usually represented as an intricate set of relations between their components forming a complex graph or network. The understanding of their functioning and emergent properties…Sergio Gomez, Alberto Fernandez, Clara Granell et al.·Jan 6, 2014SaveLearn
Generalization of the Poisson distribution for the case of changing probabilities of consecutive eventsIn this paper the generalization of the Poisson distribution is derived for the case when each consecutive event changes event rate. A simple formula for the probability of observing of a given…E. A. Kushnirenko·Jan 3, 2014SaveLearn
Investigating complex networks with inverse models: analytical aspects of spatial leakage and connectivity estimationNetwork theory and inverse modeling are two standard tools of applied physics, whose combination is needed when studying the dynamical organization of spatially distributed systems from indirect…Vincent Wens·Jan 2, 2014SaveLearn
Bayesian compressive sensing for ultrawideband inverse scattering in random mediaWe develop an ultrawideband (UWB) inverse scattering technique for reconstructing continuous random media based on Bayesian compressive sensing. In addition to providing maximum a posteriori…A. E. Fouda, F. L. Teixeira·Dec 27, 2013SaveLearn
Critical assessment of the evidence for striped nanoparticlesThere is now a significant body of literature in which it is claimed that stripes form in the ligand shell of suitably functionalised Au nanoparticles. This stripe morphology has been proposed to…Julian Stirling, Ioannis Lekkas, Adam Sweetman et al.·Dec 24, 2013SaveLearn
Rapid and deterministic estimation of probability densities using scale-free field theoriesThe question of how best to estimate a continuous probability density from finite data is an intriguing open problem at the interface of statistics and physics. Previous work has argued that this…Justin B. Kinney·Dec 23, 2013SaveLearn
Global inequality in energy consumption from 1980 to 2010We study the global probability distribution of energy consumption per capita around the world using data from the U.S. Energy Information Administration (EIA) for 1980-2010. We find that the Lorenz…Scott Lawrence, Qin Liu, Victor M. Yakovenko·Dec 22, 2013SaveLearn
Wavelet-based cascade model for intermittent structure in terrestrial environmentsA wavelet-like model for distributions of objects in natural and man-made terrestrial environments is developed. The model is constructed in a self-similar fashion, with the sizes, amplitudes, and…D. Keith Wilson, Chris L. Pettit, Sergey N. Vecherin·Dec 19, 2013SaveLearn
Maximum-likelihood fits to histograms for improved parameter estimationStraightforward methods for adapting the familiar chi2 statistic to histograms of discrete events and other Poisson distributed data generally yield biased estimates of the parameters of a model.…Joseph W. Fowler·Dec 19, 2013SaveLearn
Forecasting wind speed financial returnThe prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to…Guglielmo D'Amico, Filippo Petroni, Flavio Prattico·Dec 13, 2013SaveLearn
Algorithm for spectral response analysis of superconducting microwave transmission-line resonatorIt has always been a challenge for researchers to efficiently and accurately post process experimental data which is distorted by the noise. Superconducting microwave devices e.g. resonators,…Muhammad Hanif·Dec 11, 2013SaveLearn
A path-integral approach to Bayesian inference for inverse problems using the semiclassical approximationWe demonstrate how path integrals often used in problems of theoretical physics can be adapted to provide a machinery for performing Bayesian inference in function spaces. Such inference comes about…Joshua C Chang, Van Savage, Tom Chou·Dec 10, 2013SaveLearn
On the Estimation of Pointwise DimensionOur goal in this paper is to develop an effective estimator of fractal dimension. We survey existing ideas in dimension estimation, with a focus on the currently popular method of Grassberger and…Shohei Hidaka, Neeraj Kashyap·Dec 9, 2013SaveLearn
Systematic Physics Constrained Parameter Estimation of Stochastic Differential EquationsA systematic Bayesian framework is developed for physics constrained parameter inference ofstochastic differential equations (SDE) from partial observations. The physical constraints arederived for…Daniel Peavoy, Christian L. E. Franzke, Gareth O. Roberts·Dec 6, 2013SaveLearn