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On spectral approximations of stochastic partial differential equations driven by Poisson noise
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Comparing robustness to outliers and model misspecification between robust Poisson and log-binomial models
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Exchangeable pairs in Stein's method of distributional approximation
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Stein's method and its applications in strong embeddings and Dickman approximations
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Numerical weak approximation of stochastic differential equations driven by Levy processes
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Poisson approximation of input traffic sources in asynchronous transfer mode (ATM) networks
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A Non-Homogeneous Poisson process approximation of the General Renewal combat model
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Limiting distribution and error terms for the number of visits to balls in mixing dynamical systems
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Chaos and thermalization in the one-dimensional Bose-Hubbard model in the classical-field approximation
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Estimation of image signals with Poisson noise
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Symmetries as a resource for analysis and device design
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Non-homogeneous Poisson process models for recall data in psychology
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Implementation of a Domain Decomposed Fast Poisson Solver on microcomputer
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Mixing conditions and return times on Markov Towers
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Stein's method via approximate zero biasing and positive association with applications to combinatorial central limit theorem and statistical physics
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Design and implementation of a fast Poisson solver for microcomputers
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The association between sun exposure and multiple sclerosis
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A fast approximation of homogeneous stochastic combat
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A joint model for Poisson and normal data for analyzing tumor response in cancer studies
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Predicting hospital length of stay (LOS) using the National Inpatient Sample
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Assessment of the mortality burden associated with ambient air pollution in rural and urban areas of India
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Implementation of a fast Poisson solver with O(h<super>2</super>) accuracy on a microcomputer
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Some extensions of stochastic square law combat models and approximations
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Independent Process Approximation For The Coupon Collector'S Problem
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Cross-Correlation Methods For Quantification Of Nonlinear Input-Output Transformations Of Neural Systems Using A Poisson Random Test Input
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