Skip to content

Data Analysis papers — page 134

physics.data-anBrowse archive

Binary N-Step Markov Chain as an Exactly Solvable Model of Long-Range Correlated Systems
A theory of systems with long-range correlations based on the consideration of binary N-step Markov chains is developed. In our model, the conditional probability that the i-th symbol in the chain…
O. V. Usatenko, V. A. Yampol'skiiNov 12, 2002
Learn
MCMC joint separation and segmentation of hidden Markov fields
In this contribution, we consider the problem of the blind separation of noisy instantaneously mixed images. The images are modelized by hidden Markov fields with unknown parameters. Given the…
Hichem Snoussi, Ali Mohammad-DjafariNov 12, 2002
Learn
Yet Another Analysis of Dice Problems
During the MaxEnt 2002 workshop in Moscow, Idaho, Tony Vignaux asked again a few simple questions about using Maximum Entropy or Bayesian approaches for the famous Dice problems which have been…
Ali Mohammad-DjafariNov 12, 2002
Learn
The right tool for the job
Tcl/tk provides for fast and flexible interface design but slow and cumbersome vector processing. Octave provides fast and flexible vector processing but slow and cumbersome interface design. Calling…
P. A. KienzleNov 7, 2002
Learn
GUI Tools for an Enhanced User Experience
For instruments with many occasional users, it is important to have easy to use software. To support the frequent users it is important to be flexible. Using a scripting language to design a GUI and…
P. A. KienzleNov 7, 2002
Learn
Parameter identification using the Hilbert transform
Many physical systems can be adequately modelled using a second order approximation. The problem of plant identification reduces to the problem of estimating the position of a single pair of complex…
Andrew Allison, Derek AbbottOct 27, 2002
Learn
Coordinated, Interactive Data Visualization for Neutron Scattering Data
The overall design of the Integrated Spectral Analysis Workbench (ISAW), being developed at Argonne, provides for an extensible, highly interactive, collaborating set of viewers for neutron…
D. J. Mikkelson, R. L. Mikkelson, T. G. Worlton et al.Oct 20, 2002
Learn
NeXus Software Status
NeXus is a joint effort of both the synchrotron and neutron scattering community to devlop a common data exchange format based on HDF. In order to simplify access to NeXus-files a NeXus-API is…
Mark Koennecke, Uwe FilgesOct 18, 2002
Learn
What is the true dropped calls rate when in the test it was found to be zero?
We study the distributions of dropped calls rates for different wireless (cellular) carriers in different markets. Our statistics comprises over 700 different market/carrier combinations. We find…
M. V. Simkin, J. OlnessOct 5, 2002
Learn
Nonlinear analysis of bivariate data with cross recurrence plots
We use the extension of the method of recurrence plots to cross recurrence plots (CRP) which enables a nonlinear analysis of bivariate data. To quantify CRPs, we develop further three measures of…
N. Marwan, J. KurthsAug 16, 2002
Learn
Slow relaxation in weakly open vertex-splitting rational polygons
The problem of splitting effects by vertex angles is discussed for nonintegrable rational polygonal billiards. A statistical analysis of the decay dynamics in weakly open polygons is given through…
Valery B. Kokshenev, Eduardo VicentiniAug 15, 2002
Learn
The effects of related experiments
The effects of the experiment itself upon the obtained results and, especially, the influence of a large number of experiments are extensively discussed in the literature. We show that the important…
D. BarAug 13, 2002
Learn
Bayesian analysis of magnetic island dynamics
We examine a first order differential equation with respect to time coming up in the description of magnetic islands in magnetically confined plasmas. The free parameters of this equation are…
R. Preuss, M. Maraschek, H. Zohm et al.Aug 8, 2002
Learn
Improvement of experimental data via consistency conditions
Interdependencies between experimental spectra, representing line or plane projections of electronic densities, are derived from their consistency and symmetry conditions. Some additional relations…
G. Kontrym-SznajdAug 2, 2002
Learn
Marginalization using the metric of the likelihood
Although the likelihood function is normalizeable with respect to the data there is no guarantee that the same holds with respect to the model parameters. This may lead to singularities in the…
R. Preuss, V. DoseJul 31, 2002
Learn
A Measure of the Goodness of Fit in Unbinned Likelihood Fits
Maximum likelihood fits to data can be done using binned data (histograms) and unbinned data. With binned data, one gets not only the fitted parameters but also a measure of the goodness of fit. With…
Rajendran RajaJul 30, 2002
Learn
Wireless communications with diffuse waves
Diffuse, multiple-scattered waves can be very efficient for information transfer through disordered media, provided that antenna arrays are used for both transmission and reception of signals.…
S. E. SkipetrovJul 18, 2002
Learn
Confidence Limits and their Robustness
Confidence limits are common place in physics analysis. Great care must be taken in their calculation and use, especially in cases of limited statistics when often one-sided limits are quoted. In…
Rajendran RajaJul 15, 2002
Learn
Hausdorff moment problem via fractional moments
We outline an efficient method for the reconstruction of a probability density function from the knowledge of its infinite sequence of ordinary moments. The approximate density is obtained resorting…
Pierluigi Novi Inverardi, Alberto Petri, Giorgio Pontuale et al.Jul 10, 2002
Learn
Data Compression and Entropy Estimates by Non-sequential Recursive Pair Substitution
We argue that Non-sequential Recursive Pair Substitution (NSRPS) as suggested by Jiménez-Montaño and Ebeling can indeed be used as a basis for an optimal data compression algorithm. In particular, we…
Peter GrassbergerJul 5, 2002
Learn
Inference of entropies of discrete random variables with unknown cardinalities
We examine the recently introduced NSB estimator of entropies of severely undersampled discrete variables and devise a procedure for calculating the involved integrals. We discover that the output of…
Ilya NemenmanJul 2, 2002
Learn
Maximum-likelihood absorption tomography
Maximum-likelihood methods are applied to the problem of absorption tomography. The reconstruction is done with the help of an iterative algorithm. We show how the statistics of the illuminating beam…
J. Rehacek, Z. Hradil, M. Zawisky et al.Jun 17, 2002
Learn
Generalized Singular Spectrum Time Series Analysis
This paper is a study of continuous time Singular Spectrum Analysis (SSA). We show that the principal eigenfunctions are solutions to a set of linear ODEs with constant coefficients. We also…
Martin NilssonMay 31, 2002
Learn
Bayesian Source Separation and Localization
The problem of mixed signals occurs in many different contexts; one of the most familiar being acoustics. The forward problem in acoustics consists of finding the sound pressure levels at various…
Kevin H. KnuthMay 24, 2002
Learn
A Bayesian approach to source separation
The problem of source separation is by its very nature an inductive inference problem. There is not enough information to deduce the solution, so one must use any available information to infer the…
Kevin H. KnuthMay 10, 2002
Learn
← PreviousPage 134Next →