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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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Using multi-level Bayesian hierarchical model to detect related multiple SNPs within multiple genes to disease risk
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A hierarchical physiologically-based pharmacokinetic modeling platform for genetic and exposure effects in metabolic pathways
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Bayesian multilevel quantile regression for longitudinal data
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Hierarchical methods in automatic pronunciation evaluation
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Robot life-long task learning from human demonstrations: a Bayesian approach
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Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing
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Sparse representation models and applications to bioinformatics
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Pharmacokinetic/pharmacodynamic modeling for genetically polymorphic populations
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Exploration of parallelism for probabilistic graphical models
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Active data acquisition for building language models for speech recognition
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Population pharmacokinetic/pharmacodynamic modeling: evaluation of maximum likelihood expectation maximization method in ADAPT 5
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Deep generative models for time series counterfactual inference
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Noise benefits in expectation-maximization algorithms
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Characterization and discovery of genetic associations: multiethnic fine-mapping and incorporation of functional information
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Comparison of nonlinear mixed effect modeling methods for exhaled nitric oxide
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Evaluating standard error estimators for multilevel models on small samples with heteroscedasticity and unbalanced cluster sizes
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Modeling mutational signatures in cancer
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Sharpening the edge of tools for microbial diversity analysis
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Probing the genetic basis of gene expression variation through Bayesian analysis of allelic imbalance and transcriptome studies of oil palm interspecies hybrids
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Inference correction in measurement error models with a complex dosimetry system
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Theory and applications of hierarchical curve representation with wavelets
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Clustering 16S rRNA sequences: an accurate and efficient approach
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Sense and sensibility: statistical techniques for human energy expenditure estimation using kinematic sensors
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