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Design and use of a biomimetic tactile microvibration sensor with human-like sensitivity and its application in texture discrimination using Bayesian exploration
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Application of Bayesian methods in association mapping
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Bayesian hierarchical and joint modeling of the reversal learning task
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Bayesian multilevel quantile regression for longitudinal data
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Exploration of parallelism for probabilistic graphical models
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Incorporating uncertainty in design parameters: a hybrid classical-Bayesian power analysis approach for two-level cluster randomized trials
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Modeling the learner's attention and learning goals using Bayesian network
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A computational framework for exploring the role of speech production in speech processing from a communication system perspective
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Using multi-level Bayesian hierarchical model to detect related multiple SNPs within multiple genes to disease risk
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Design, adaptation and variational methods in uncertainty quantification
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Experimental and computational explorations of different forms of plasticity in motor learning and stroke recovery
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Object representation and magnetic moments in thin alkali films
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Physics-based data-driven inference
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Computational models and model-based fMRI studies in motor learning
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A Bayesian analysis of pooling cross-section time series data: An investigation of company investment behavior
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A Bayesian model for the prediction of local policy outputs in California public sector labor relations
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The essays on the optimal information revelation, and multi-stop shopping
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Covariance modeling and estimation for distributed parameter systems and their approximations
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Computational model of stroke therapy and long term recovery
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Filling in the gaps: 3D mapping Arizona's Basin and Range aquifer in the Prescott Active Management Area
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Using GIS to explore the tradeoffs in hydrographic survey planning: an investigation of sampling, interpolation, and local geomorphology
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A hierarchical physiologically-based pharmacokinetic modeling platform for genetic and exposure effects in metabolic pathways
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Exploring complexity reduction in deep learning
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Estimation of nonlinear mixed effects mixture models with individually varying measurement occasions
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Soil lead contamination from the Exide battery smelter: the role of spatial scale in cleanup efforts
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