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Bayesian methods for autonomous learning systems
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Application of Bayesian methods in association mapping
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Bayesian optimal stopping problems with partial information
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Bayesian hierarchical models in genetic association studies
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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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Obtaining breath alcohol concentration from transdermal alcohol concentration using Bayesian approaches
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Population modeling and Bayesian estimation for the deconvolution of blood alcohol concentration from transdermal alcohol biosensor data
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Theoretical foundations of approximate Bayesian computation
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Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches
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Robot life-long task learning from human demonstrations: a Bayesian approach
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BRIM: A performance-based Bayesian model to identify use-error risk levels in medical devices
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Bayesian analysis of transcriptomic and genomic data
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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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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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Bayesian model averaging methods for gene-environment interactions and admixture mapping
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Bayesian analysis of stochastic volatility models with Levy jumps
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A Bayesian approach for estimating breath from transdermal alcohol concentration
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A Bayesian framework of 2D image correspondence and 3D
Modeling the learner's attention and learning goals using Bayesian network
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Hierarchical methods in automatic pronunciation evaluation
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The impact of statistical method choice: evaluation of the SANO randomized clinical trial using two non-traditional statistical methods
Precision-based sample size reduction for Bayesian experimentation using Markov chain simulation
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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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A study of methods for missing data problems in epidemiologic studies with historical exposures
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