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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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Learning contour statistics from natural images
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Nonparametric estimation of an unknown probability distribution using maximum likelihood and Bayesian approaches
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Obtaining breath alcohol concentration from transdermal alcohol concentration using Bayesian approaches
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Theoretical foundations of approximate Bayesian computation
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Statistical learning is a two-step process
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Bayesian analysis of transcriptomic and genomic data
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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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Incorporating uncertainty in design parameters: a hybrid classical-Bayesian power analysis approach for two-level cluster randomized trials
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Sense and sensibility: statistical techniques for human energy expenditure estimation using kinematic sensors
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The impact of statistical method choice: evaluation of the SANO randomized clinical trial using two non-traditional statistical methods
Smaller, faster and accurate models for statistical machine translation
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Bayesian analysis of stochastic volatility models with Levy jumps
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The use of alignment-free statistics for the evolutionary study of study of 5' cis-regulatory sequences
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Bayesian vector autoregression, a time series model
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A Bayesian framework of 2D image correspondence and 3D
Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions
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Bayesian model averaging methods for gene-environment interactions and admixture mapping
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Essays on bioinformatics and social network analysis: statistical and computational methods for complex systems
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Noise benefits in expectation-maximization algorithms
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