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Covariance modeling and estimation for distributed parameter systems and their approximations
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Approximating stationary long memory processes by an AR model with application to foreign exchange rate
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Numerical weak approximation of stochastic differential equations driven by Levy processes
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Mathematical properties of ensemble Kalman filter
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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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Novel algorithms for large scale supervised and one class learning
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The maximum entropy distribution and its covariance matrix.
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Fuzzy function approximation with ellipsoidal rules
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Simultaneously modeling censored survival data and repeatedly measured covariates using Gibbs sampling
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etd-YangFan-2235a
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Methods for the analysis of missing covariate data in individually matched case-control studies
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The consultant's corner: Discriminant analysis methods when the covariance matrices are unequal
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Methodology for the analysis of recurring morbidity events, adjusting for covariates
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A principal components approach to approximate modeling and ARMA spectral estimation
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Poisson approximation of input traffic sources in asynchronous transfer mode (ATM) networks
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Mixing conditions and return times on Markov Towers
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The application of an approximately optimal nonlinear stochastic control and estimation algorithm to a pharmacokinetic problem
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Comparison of nonlinear mixed effect modeling methods for exhaled nitric oxide
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Analytical and experimental methods for regional earthquake spectra and structural health monitoring applications
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Error tolerance approach for similarity search problems
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Inference for stochastic models of molecular data
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Adaptive detection of stationary optical and IR targets using correlated scenes
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Penalized portfolio optimization
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Statistical methods and analyses in the Multiethnic Cohort (MEC) human gut microbiome data
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The impact of global and local Polynesian genetic ancestry on complex traits in Native Hawaiians
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