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Large-scale inference in multiple Gaussian graphical models
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Statistical inference of stochastic differential equations driven by Gaussian noise
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Robust feature selection with penalized regression in imbalanced high dimensional data
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Sense and sensibility: statistical techniques for human energy expenditure estimation using kinematic sensors
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Non-parametric multivariate regression hypothesis testing
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The emotional arousal effects on visual processing
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Texture processing for image/video coding and super-resolution applications
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Parameter estimation in second-order stochastic differential equations
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Covariance-based distance-weighted regression for incomplete and misaligned spatial data
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Sparseness in functional data analysis
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Analysis using generalized linear models and its applied computation with R
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Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing
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Computational model of stroke therapy and long term recovery
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A land use regression model for predicting ambient fine particulate concentrations across Los Angeles
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Applications of multiple imputations in survival analysis
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Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation
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The application of machine learning in stock market
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Nanotubes for noisy signal processing
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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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Compression of signal on graphs with the application to image and video coding
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Modeling and recognition of events from temporal sensor data for energy applications
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Prediction modeling and statistical analysis of amino acid substitutions
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A computational framework for diversity in ensembles of humans and machine systems
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Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions
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Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis
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