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A method for extracting the scaling exponents of a self-affine, non-Gaussian process from a finite length timeseries

Physics – Data Analysis – Statistics and Probability
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A Method to Separate Stochastic and Deterministic Information from Electrocardiograms

Physics – Data Analysis – Statistics and Probability
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A model of underground ridership during the severe outbreaks of the SARS epidemic in a modern city

Physics – Data Analysis – Statistics and Probability
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A modified Least Squares Lattice filter to identify non stationary process

Physics – Data Analysis – Statistics and Probability
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A more exact solution for incorporating multiplicative systematic uncertainties in branching ratio limits

Physics – Data Analysis – Statistics and Probability
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A Multifractal Detrended Fluctuation Description of Iranian Rial-US Dollar Exchange Rate

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A multivariate approach to heavy flavour tagging with cascade training

Physics – Data Analysis – Statistics and Probability
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A Multivariate Training Technique with Event Reweighting

Physics – Data Analysis – Statistics and Probability
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A Neural Bayesian Estimator for Conditional Probability Densities

Physics – Data Analysis – Statistics and Probability
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A New Algorithm to Smooth Quantization Errors

Physics – Data Analysis – Statistics and Probability
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A New Car-Following Model Inspired by Galton Board

Physics – Data Analysis – Statistics and Probability
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A new family of solvable Pearson-Dirichlet random walks

Physics – Data Analysis – Statistics and Probability
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A new FSA approach for in situ $γ$-ray spectroscopy

Physics – Data Analysis – Statistics and Probability
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A New Look at an Old Tool-the Cumulative Spectral Power of Fast-Fourier Transform Analysis

Physics – Data Analysis – Statistics and Probability
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A new method for numerical inversion of the Laplace transform

Physics – Data Analysis – Statistics and Probability
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A New Methodology for Generalizing Unweighted Network Measures

Physics – Data Analysis – Statistics and Probability
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A new set of Monte Carlo moves for lattice random-walk models of biased diffusion

Physics – Data Analysis – Statistics and Probability
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A New Technique for Finding Needles in Haystacks: A Geometric Approach to Distinguishing Between a New Source and Random Fluctuations

Physics – Data Analysis – Statistics and Probability
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A non-iterative algorithm to estimate the modes of univariate mixtures with well separated components

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A non-parametric peak finder algorithm and its application in searches for new physics

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