Bayesian experimental design for the active nitridation of graphite by atomic nitrogenThe problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synthetic and real…Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki·Jul 7, 2011SaveLearn
Non-commutative tomography: A tool for data analysis and signal processingTomograms, a generalization of the Radon transform to arbitrary pairs of non-commuting operators, are positive bilinear transforms with a rigorous probabilistic interpretation which provide a full…F. Briolle, V. I. Man'ko, B. Ricaud et al.·Jul 5, 2011SaveLearn
Solution to Banff 2 Challenge Based on Likelihood Ratio TestWe describe our solution to the Banff 2 challenge problems as well as the outcomes.Wolfgang A Rolke·Jul 3, 2011SaveLearn
A random walk on image patchesIn this paper we address the problem of understanding the success of algorithms that organize patches according to graph-based metrics. Algorithms that analyze patches extracted from images or time…Kye M. Taylor, Francois G. Meyer·Jul 2, 2011SaveLearn
Calculating a confidence interval on the sum of binned leakageCalculating the expected number of misclassified outcomes is a standard problem of particular interest for rare-event searches. The Clopper-Pearson method allows calculation of classical confidence…Ian Ruchlin, Richard W. Schnee·Jun 30, 2011SaveLearn
Likelihood based observability analysis and confidence intervals for predictions of dynamic modelsMechanistic dynamic models of biochemical networks such as Ordinary Differential Equations (ODEs) contain unknown parameters like the reaction rate constants and the initial concentrations of the…Clemens Kreutz, Andreas Raue, Jens Timmer·Jun 29, 2011SaveLearn
Entry Dispersion Analysis for the Hayabusa Spacecraft using Ground Based Optical ObservationHayabusa asteroid explorer successfully released the sample capsule to Australia on June 13, 2010. Since the Earth reentry phase of sample return was critical, many backup plans for predicting the…T. Yamaguchi, M. Yoshikawa, M. Yagi et al.·Jun 29, 2011SaveLearn
A new family of solvable Pearson-Dirichlet random walksA n-step Pearson-Gamma random walk in Rd starts at the origin and consists of n independent steps with gamma distributed lengths and uniform orientations. The gamma distribution of each step length…G. Le Caer·Jun 24, 2011SaveLearn
The Asymptotic Mandelbrot Law of Some Evolution NetworksIn this letter, we study some evolution networks that grow with linear preferential attachment. Based upon some recent results on the quotient Gamma function, we give a rigorous proof of the…Li Li·Jun 19, 2011SaveLearn
Impact of Heterogeneous Human Activities on Epidemic SpreadingRecent empirical observations suggest a heterogeneous nature of human activities. The heavy-tailed inter-event time distribution at population level is well accepted, while whether the individual…Zimo Yang, Ai-Xiang Cui, Tao Zhou·Jun 17, 2011SaveLearn
An Iterative, Dynamically Stabilized(IDS) Method of Data UnfoldingWe describe an iterative unfolding method for experimental data, making use of a regularization function. The use of this function allows one to build an improved normalization procedure for Monte…Bogdan Malaescu·Jun 15, 2011SaveLearn
Computational approach to multifractal musicIn this work we perform a fractal analysis of 160 pieces of music belonging to six different genres. We show that the majority of the pieces reveal characteristics that allow us to classify them as…Paweł Oświęcimka, Jarosław Kwapień, Iwona Celińska et al.·Jun 15, 2011SaveLearn
GELATIO: a general framework for modular digital analysis of high-purity Ge detector signalsGELATIO is a new software framework for advanced data analysis and digital signal processing developed for the GERDA neutrinoless double beta decay experiment. The framework is tailored to handle the…M. Agostini, L. Pandola, P. Zavarise et al.·Jun 9, 2011SaveLearn
On the Four Types of Weight Functions for Spatial Contiguity MatrixThis is a "spatial autocorrelation analysis" of spatial autocorrelation. I use the 1-dimension spatial autocorrelation function (ACF) and partial autocorrelation function (PACF) to analyze four kinds…Yanguang Chen·Jun 4, 2011SaveLearn
Asymmetric random matrices: What do we need them for?Complex systems are typically represented by large ensembles of observations. Correlation matrices provide an efficient formal framework to extract information from such multivariate ensembles and…Stanislaw Drozdz, Jaroslaw Kwapien, Andreas A. Ioannides·Jun 2, 2011SaveLearn
Sparse Random Approximation and Lossy CompressionWe discuss a method for sparse signal approximation, which is based on the correlation of the target signal with a pseudo-random signal, and uses a modification of the greedy matching pursuit…M. Andrecut·May 25, 2011SaveLearn
On the sixty-year periodicity in climate and astronomical seriesIn a recent article by Scafetta, 2010, the author investigates whether or not the decadal and multi-decadal climate oscillations have an astronomical origin. In particular, the author note that…S. Sello·May 19, 2011SaveLearn
Deconvolution of a linear combination of Gaussian kernels by an inhomogeneous Fredholm integral equation of second kind and applications to image processingScatter processes of photons lead to blurring of images. Multiple scatter can usually be described by one Gaussian convolution kernel. This can be a crude approximation and we need a linear…Waldemar Ulmer·May 17, 2011SaveLearn
Non-characteristic Half-lives in Radioactive DecayHalf-lives of radionuclides span more than 50 orders of magnitude. We characterize the probability distribution of this broad-range data set at the same time that explore a method for fitting…Alvaro Corral, Francesc Font, Juan Camacho·May 17, 2011SaveLearn
Power-Constrained LimitsWe propose a method for setting limits that avoids excluding parameter values for which the sensitivity falls below a specified threshold. These "power-constrained" limits (PCL) address the…Glen Cowan, Kyle Cranmer, Eilam Gross et al.·May 16, 2011SaveLearn
A Bayesian approach to evaluate confidence intervals in counting experiments with backgroundIn this paper we propose a procedure to evaluate Bayesian confidence intervals in counting experiments where both signal and background fluctuations are described by the Poisson statistics. The…F. Loparco, M. N. Mazziotta·May 16, 2011SaveLearn
Some ways of combining optimum interval upper limitsWhen backgrounds are not well enough controlled to measure the value of some physical parameter, one may still obtain an upper limit on the parameter. A single experiment may have several detectors,…S. Yellin·May 15, 2011SaveLearn
When Models Interact with their Subjects: The Dynamics of Model Aware SystemsA scientific model need not be a passive and static descriptor of its subject. If the subject is affected by the model, the model must be updated to explain its affected subject. In this study, two…Dervis Can Vural·May 13, 2011SaveLearn
From brain to earth and climate systems: Small-world interaction networks or not?We consider recent reports on small-world topologies of interaction networks derived from the dynamics of spatially extended systems that are investigated in diverse scientific fields such as…Stephan Bialonski, Marie-Therese Horstmann, Klaus Lehnertz·May 11, 2011SaveLearn
Common Arc Method for Diffraction Pattern OrientationVery short pulses of x-ray free-electron lasers opened the way to obtain diffraction signal from single particles beyond the radiation dose limit. For 3D structure reconstruction many patterns are…Gábor Bortel, Miklós Tegze·May 10, 2011SaveLearn