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Data Analysis papers — page 130

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Comments on Likelihood fits with variable resolution
Unbinned likelihood fits are frequent in Physics, and often involve complex functions with several components. We discuss the potential pitfalls of situations where the templates used in the fit are…
Giovanni PunziJan 10, 2004
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Asymmetric Errors
Errors quoted on results are often given in asymmetric form. An account is given of the two ways these can arise in an analysis, and the combination of asymmetric errors is discussed. It is shown…
Roger BarlowJan 10, 2004
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Pouzyry: a novel class of algorithms for restoring a function from a random sample
A novel class of algorithms for restoring a function from a random sample is based on the concept of weak convergence, borrows algorithmic solutions from the Optimal Jet Finder (hep-ph/0301185),…
F. V. TkachovJan 6, 2004
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The CAVES Project - Exploring Virtual Data Concepts for Data Analysis
The Collaborative Analysis Versioning Environment System (CAVES) project concentrates on the interactions between users performing data and/or computing intensive analyses on large data sets, as…
Dimitri BourilkovJan 4, 2004
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Dynamic Models and Nonlinear Filtering of Wave Propagation in Random Fields
In this paper, a general model of wireless channels is established based on the physics of wave propagation. Then the problems of inverse scattering and channel prediction are formulated as nonlinear…
Haiqing WeiJan 1, 2004
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How to Claim a Discovery
We describe a statistical hypothesis test for the presence of a signal. The test allows the researcher to fix the signal location and/or width a priori, or perform a search to find the signal region…
Wolfgang Rolke, Angel LopezDec 24, 2003
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Entropic Priors
The method of Maximum (relative) Entropy (ME) is used to translate the information contained in the known form of the likelihood into a prior distribution for Bayesian inference. The argument is…
Ariel Caticha, Roland PreussDec 22, 2003
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Blind Analysis in Particle Physics
A review of the blind analysis technique, as used in particle physics measurements, is presented. The history of blind analyses in physics is briefly discussed. Next the dangers of…
Aaron RoodmanDec 17, 2003
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Constructing Ensembles of Pseudo-Experiments
The frequentist interpretation of measurement results requires the specification of an ensemble of independent replications of the same experiment. For complex calculations of bias, coverage,…
Luc DemortierDec 16, 2003
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Likelihood inference in the presence of nuisance parameters
We describe some recent approaches to likelihood based inference in the presence of nuisance parameters. Our approach is based on plotting the likelihood function and the p-value function, using…
N. Reid, D. A. S. FraserDec 11, 2003
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Measures of Significance in HEP and Astrophysics
I compare and discuss critically several measures of statistical significance in common use in astrophysics and in high energy physics. I also exhibit some relationships among them.
J. T. LinnemannDec 9, 2003
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Challenges in Moving the LEP Higgs Statistics to the LHC
We examine computational, conceptual, and philosophical issues in moving the statistical techniques used in the LEP Higgs working group to the LHC.
K. S. Cranmer, B. Mellado, W. Quayle et al.Dec 8, 2003
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Predictability of Volcano Eruption: lessons from a basaltic effusive volcano
Volcano eruption forecast remains a challenging and controversial problem despite the fact that data from volcano monitoring significantly increased in quantity and quality during the last…
J. -R. Grasso, I. ZaliapinDec 5, 2003
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Sensitivity of searches for new signals and its optimization
A frequentist definition of sensitivity of a search for new phenomena is discussed, that has several useful properties. It is based on completely standard concepts, is generally applicable, and has a…
Giovanni PunziDec 4, 2003
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An Unbinned Goodness-of-Fit Test Based on the Random Walk
We describe a test statistic for unbinned goodness-of-fit of data in one dimension. The statistic is based on the two-dimensional Random Walk. The rejection power of this test is explored both for…
K. KinoshitaDec 3, 2003
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Deviations of the distributions of seismic energies from the Gutenberg-Richter law
A new non-parametric statistic is introduced for the characterization of deviations from power laws. It is tested on the distribution of seismic energies given by the Gutenberg-Richter law. Based on…
V. Pisarenko, D. Sornette, M. RodkinDec 3, 2003
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Introduction to Statistical Issues in Particle Physics
An account is given of the methods of working of Experimental High Energy Particle Physics, from the viewpoint of statisticians and others unfamiliar with the field. Current statistical problems,…
Roger BarlowNov 20, 2003
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Relative Entropy and Inductive Inference
We discuss how the method of maximum entropy, MaxEnt, can be extended beyond its original scope, as a rule to assign a probability distribution, to a full-fledged method for inductive inference. The…
Ariel CatichaNov 19, 2003
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Statistical Issues in Particle Physics -- A View from BaBar
The statistical methods used in deriving physics results in the BaBar collaboration are reviewed, with especial emphasis on areas where practice is not uniform in particle physics.
Frank C. PorterNov 18, 2003
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Bayesian Wavelet Based Signal and Image Separation
In this contribution, we consider the problem of blind source separation in a Bayesian estimation framework. The wavelet representation allows us to assign an adequate prior distribution to the…
Mahieddine M. Ichir, Ali Mohammad-DjafariNov 7, 2003
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Temperature and pressure in nonextensive thermostatistics
The definitions of the temperature in the nonextensive statistical thermodynamics based on Tsallis entropy are analyzed. A definition of pressure is proposed for nonadditive systems by using a…
Qiuping A. Wang, Laurent Nivanen, Alain Le Mehaute et al.Nov 7, 2003
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Peak finding through Scan Statistics
We discuss the conditions under which Scan Statistics can be fruitfully implemented to signal a departure from the underlying probability model that describes the experimental data. It is shown that…
F. TerranovaNov 5, 2003
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Pitfalls of Goodness-of-Fit from Likelihood
The value of the likelihood is occasionally used by high energy physicists as a statistic to measure goodness-of-fit in unbinned maximum likelihood fits. Simple examples are presented that illustrate…
Joel HeinrichOct 31, 2003
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Stochastic analysis of surface roughness
For the characterization of surface height profiles we present a new stochastic approach which is based on the theory of Markov processes. With this analysis we achieve a characterization of the…
M. Waechter, F. Riess, H. Kantz et al.Oct 30, 2003
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Stochastic analysis of road surface roughness
This paper was withdrawn by the authors due to significant new findings. A new paper on the same topic has been submitted as physics/0310159.
M. Waechter, F. Riess, H. Kantz et al.Oct 30, 2003
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