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Data Analysis papers — page 129

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Statistical randomization test for QCD intermittency in a single-event distribution
A randomization test was developed to determine the statistical significance of QCD intermittency in single-event distributions. A total of 96 simulated intermittent distributions based on standard…
Leif E. PetersonApr 5, 2004
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A hidden Markov Model for image fusion and their joint segmentation in medical image computing
In this work we propose a Bayesian framework for fully automated image fusion and their joint segmentation. More specifically, we consider the case where we have observed images of the same object…
Olivier Feron, Ali Mohammad-DjafariMar 31, 2004
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A Hidden Markov model for Bayesian data fusion of multivariate signals
In this work we propose a Bayesian framework for data fusion of multivariate signals which arises in imaging systems. More specifically, we consider the case where we have observed two images of the…
Olivier Feron, Ali Mohammad-DjafariMar 31, 2004
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A Bayesian approach to change point analysis of discrete time series
In this work we consider time series with a finite number of discrete point changes. We assume that the data in each segment follows a different probability density functions (pdf). We focus on the…
Ali Mohammad-Djafari, Olivier FeronMar 31, 2004
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Inference of stochastic nonlinear oscillators with applications to physiological problems
A new method of inferencing of coupled stochastic nonlinear oscillators is described. The technique does not require extensive global optimization, provides optimal compensation for noise-induced…
Vadim N. Smelyanskiy, Dmitry G. LuchinskyMar 25, 2004
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What is a Question?
A given question can be defined in terms of the set of statements or assertions that answer it. Application of logical inference to these sets of assertions allows one to derive the logic of inquiry…
Kevin H. KnuthMar 17, 2004
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Experimental test of the probability density function of true value of Poisson distribution parameter by single observation of number of events
The empirical probability density function for the conditional distribution of the true value of Poisson distribution parameter on one measurement is constructed by computer experiment. The analysis…
S. I. Bityukov, V. A. Medvedev, V. V. Smirnova et al.Mar 11, 2004
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Limits and Confidence Intervals in the Presence of Nuisance Parameters
We study the frequentist properties of confidence intervals computed by the method known to statisticians as the Profile Likelihood. It is seen that the coverage of these intervals is surprisingly…
Wolfgang A. Rolke, Angel M. Lopez, Jan ConradMar 9, 2004
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A note on Delta ln L = -1/2 Errors
The points at which the log likelihood falls by 1/2 from its maximum value are often used to give the `errors' on a result, i.e. the 68% central confidence interval. The validity of this is…
Roger BarlowMar 5, 2004
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Deriving laws from ordering relations
The effect of Richard T. Cox's contribution to probability theory was to generalize Boolean implication among logical statements to degrees of implication, which are manipulated using rules…
Kevin H. KnuthMar 3, 2004
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Trajectory structures and transport
The special problem of transport in 2-dimensional divergence-free stochastic velocity fields is studied by developing a statistical approach, the nested subensemble method. The nonlinear process of…
Madalina Vlad, Florin SpineanuFeb 29, 2004
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Bayesian Estimation for Land Surface Temperature Retrieval: The Nuisance of Emissivities
An approach to the remote sensing of land surface temperature is developed using the methods of Bayesian inference. The starting point is the maximum entropy estimate for the posterior distribution…
J. A. MorganFeb 19, 2004
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A Neural Bayesian Estimator for Conditional Probability Densities
This article describes a robust algorithm to estimate a conditional probability density f(t|x) as a non-parametric smooth regression function. It is based on a neural network and the Bayesian…
Michael FeindtFeb 18, 2004
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Finding two-dimensional peaks
Two-dimensional generalization of the original peak finding algorithm suggested earlier is given. The ideology of the algorithm emerged from the well known quantum mechanical tunneling property which…
Z. K. SilagadzeFeb 17, 2004
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sPlot: a statistical tool to unfold data distributions
The paper advocates the use of a statistical tool dedicated to the exploration of data samples populated by several sources of events. This new technique, called sPlot, is able to unfold the…
Muriel Pivk, Francois R. Le DiberderFeb 17, 2004
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Self-generated Self-similar Traffic
Self-similarity in the network traffic has been studied from several aspects: both at the user side and at the network side there are many sources of the long range dependence. Recently some…
P. Haga, P. Pollner, G. Simon et al.Feb 17, 2004
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Using a neural network approach for muon reconstruction and triggering
The extremely high rate of events that will be produced in the future Large Hadron Collider requires the triggering mechanism to take precise decisions in a few nano-seconds. We present a study which…
E. Etzion, H. Abramowicz, Y. Benhammou et al.Feb 16, 2004
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A comparison of methods for confidence intervals
Comparisons are carried out of the confidence intervals constructed with Neyman's frequentist method and with the ΔL=1/2 likelihood method, using the example of low-statistics life time estimates.
A. D. BukinFeb 13, 2004
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Pattern Recognition and Event Reconstruction in Particle Physics Experiments
This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and…
Rainer MankelFeb 9, 2004
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Competition between Two Kinds of Correlations in Literary Texts
A theory of additive Markov chains with long-range memory is used for description of correlation properties of coarse-grained literary texts. The complex structure of the correlations in texts is…
S. S. Melnyk, O. V. Usatenko, V. A. Yampol'skii et al.Feb 7, 2004
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PhysicsGP: A Genetic Programming Approach to Event Selection
We present a novel multivariate classification technique based on Genetic Programming. The technique is distinct from Genetic Algorithms and offers several advantages compared to Neural Networks and…
Kyle Cranmer, R. Sean BowmanFeb 5, 2004
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A Measure of the Goodness of Fit in Unbinned Likelihood Fits; End of Bayesianism?
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 RajaJan 26, 2004
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A statistical analysis of acoustic emission signals for tool condition monitoring (TCM)
The statistical properties of acoustic emission signals for tool condition monitoring (TCM) applications in mechanical lathe machining are analyzed in this paper. Time series data and root mean…
G. Pontuale, F. A. Farrelly, A. Petri et al.Jan 26, 2004
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Diffusion-based method for producing density equalizing maps
Map makers have long searched for a way to construct cartograms -- maps in which the sizes of geographic regions such as countries or provinces appear in proportion to their population or some other…
Michael T. Gastner, M. E. J. NewmanJan 20, 2004
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On the CODATA Recommended Values of the Fundamental Physical Constants: V3.2(1998) & V4.0(2002)
With the help of special program package PAREVAL designed in Mathematica system we reproduce values of basic fundamental physical constants obtained by NIST and recommended by CODATA for…
A. S. Siver, V. V. EzhelaJan 13, 2004
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