Benford distributions in NMRBenford's Law is an empirical law which predicts the frequency of significant digits in databases corresponding to various phenomena, natural or artificial. Although counter intuitive at the…Gaurav Bhole, Abhishek Shukla, T. S. Mahesh·Jun 27, 2014SaveLearn
Constructing directed networks from multivariate time series using linear modelling techniqueWe describe a method to construct directed networks from multivariate time series which has several advantages over the widely accepted methods. This method is based on an information theoretic…Toshihiro Tanizawa, Tomomichi Nakamura, Fumihiko Taya et al.·Jun 20, 2014SaveLearn
CCCP Algorithms to Minimize the Bethe free energy of 3-SAT ProblemThe k-sat problem is a prototypical constraint satisfaction problem. There are many algorithms to study k-sat problem, BP algorithm is famous one of them. But BP algorithm does not converge when…Yusupjan Habibulla·Jun 16, 2014SaveLearn
Bayesian signal reconstruction for 1-bit compressed sensingThe 1-bit compressed sensing framework enables the recovery of a sparse vector x from the sign information of each entry of its linear transformation. Discarding the amplitude information can…Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborova·Jun 14, 2014SaveLearn
Self-organized manifold learning and heuristic charting via adaptive metricsClassical metric and non-metric multidimensional scaling (MDS) variants are widely known manifold learning (ML) methods which enable construction of low dimensional representation (projections) of…Denis Horvath, Jozef Ulicny, Branislav Brutovsky·Jun 13, 2014SaveLearn
Derivation of Principle of Extreme Physical InformationThe unknown amplitude law q(x) defining an observed effect may be found using the principle of Extreme Physical Information. EPI is derived as follows. The observations follow an information flow J…B. Roy Frieden, Robert A. Gatenby·Jun 11, 2014SaveLearn
Fourier-Domain Fixed Point Algorithms with Coded Diffraction PatternsFourier-domain Difference Map (FDM) for phase retrieval with two oversampled coded diffraction patterns are proposed. FDM is a 3-parameter family of fixed point algorithms including Fourier-domain…Albert Fannjiang·Jun 10, 2014SaveLearn
Signal processing on graphs: Transforms and tomogramsUsing projections on the (generalized) eigenvectors associated to matrices that characterize the topological structure, several authors have constructed generalizations of the Fourier transform on…R. Vilela Mendes, Hugo C. Mendes, Tanya Araújo·Jun 9, 2014SaveLearn
Iterative Method for Generating Correlated Binary SequencesWe propose a new efficient iterative method for generating random correlated binary sequences with prescribed correlation function. The method is based on consecutive linear modulations of initially…O. V. Usatenko, S. S. Melnik, S. S. Apostolov et al.·Jun 7, 2014SaveLearn
Generalizations related to hypothesis testing with the Posterior distribution of the Likelihood RatioThe Posterior distribution of the Likelihood Ratio (PLR) is proposed by Dempster in 1974 for significance testing in the simple vs composite hypotheses case. In this hypotheses test case, classical…I. Smith, A. Ferrari·Jun 4, 2014SaveLearn
Detection of Nuclear Sources in Search Applications using Dynamic Quantum Clustering of Spectral DataIn a search scenario, nuclear background spectra are continuously measured in short acquisition intervals with a mobile detector-spectrometer. Detecting sources from measured data is difficult…Marvin Weinstein, Alexander Heifetz, Raymond Klann·Jun 3, 2014SaveLearn
Rényi entropy and complexity measure for skew-gaussian distributions and related familiesIn this paper, we provide the Rényi entropy and complexity measure for a novel, flexible class of skew-gaussian distributions and their related families, as a characteristic form of the skew-gaussian…Javier E. Contreras-Reyes·May 31, 2014SaveLearn
Longest-path attacks on complex networksWe investigate the longest-path attacks on complex networks. Specifically, we remove approximately the longest simple path from a network iteratively until there are no paths left in the network. We…Cunlai Pu, Wei Cui·May 28, 2014SaveLearn
Prior-predictive value from fast-growth simulations: Error analysis and bias estimationVariants of fluctuation theorems recently discovered in the statistical mechanics of non-equilibrium processes may be used for the efficient determination of high-dimensional integrals as typically…Alberto Favaro, Daniel Nickelsen, Elena Barykina et al.·May 23, 2014SaveLearn
Another Look at Confidence Intervals: Proposal for a More Relevant and Transparent ApproachThe behaviors of various confidence/credible interval constructions are explored, particularly in the region of low statistics where methods diverge most. We highlight a number of challenges, such as…Steven D. Biller, Scott M. Oser·May 20, 2014SaveLearn
Resolving Histogram Binning Dilemmas with Binless and Binfull AlgorithmsThe histogram is an analysis tool in widespread use within many sciences, with high energy physics as a prime example. However, there exists an inherent bias in the choice of binning for the…Abram Krislock, Nathan Krislock·May 20, 2014SaveLearn
The bias of the unbiased estimator: a study of the iterative application of the BLUE methodThe best linear unbiased estimator (BLUE) is a popular statistical method adopted to combine multiple measurements of the same observable taking into account individual uncertainties and their…Luca Lista·May 14, 2014SaveLearn
Probability and Statistics for Particle PhysicistsLectures presented at the 1st CERN Asia-Europe-Pacific School of High-Energy Physics, Fukuoka, Japan, 14-27 October 2012. A pedagogical selection of topics in probability and statistics is presented.…J. Ocariz·May 14, 2014SaveLearn
Lagrangian Fuzzy Dynamics of Physical and Non-Physical SystemsIn this paper, we show how to study the evolution of a system, given imprecise knowledge about the state of the system and the dynamics laws. Our approach is based on Fuzzy Set Theory, and it will be…Uziel Sandler·May 13, 2014SaveLearn
Spatially-Aware Temporal Anomaly Mapping of Gamma SpectraFor security, environmental, and regulatory purposes it is useful to continuously monitor wide areas for unexpected changes in radioactivity. We report on a temporal anomaly detection algorithm which…Alex Reinhart, Alex Athey, Steven Biegalski·May 6, 2014SaveLearn
Shrunken Locally Linear Embedding for Passive Microwave Retrieval of PrecipitationThis paper introduces a new Bayesian approach to the inverse problem of passive microwave rainfall retrieval. The proposed methodology relies on a regularization technique and makes use of two joint…Ardeshir Mohammad Ebtehaj, Rafael Luis Bras, Efi Foufoula-Georgiou·May 2, 2014SaveLearn
Finding metastable states in real-world time series with recurrence networksIn the framework of time series analysis with recurrence networks, we introduce a self-adaptive method that determines the elusive recurrence threshold and identifies metastable states in complex…Iliusi Vega, Christof Schütte, Tim O. F. Conrad·Apr 30, 2014SaveLearn
2-D Prony-Huang Transform: A New Tool for 2-D Spectral AnalysisThis work proposes an extension of the 1-D Hilbert Huang transform for the analysis of images. The proposed method consists in (i) adaptively decomposing an image into oscillating parts called…Jérémy Schmitt, Nelly Pustelnik, Pierre Borgnat et al.·Apr 30, 2014SaveLearn
Binary versus non-binary information in real time series: empirical results and maximum-entropy matrix modelsThe dynamics of complex systems, from financial markets to the brain, can be monitored in terms of multiple time series of activity of the constituent units, such as stocks or neurons respectively.…Assaf Almog, Diego Garlaschelli·Apr 29, 2014SaveLearn
Validating Predictions of Unobserved QuantitiesThe ultimate purpose of most computational models is to make predictions, commonly in support of some decision-making process (e.g., for design or operation of some system). The quantities that need…Todd A. Oliver, Gabriel Terejanu, Christopher S. Simmons et al.·Apr 29, 2014SaveLearn