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Noise benefits in Markov chain Monte Carlo computation
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Bayesian hierarchical and joint modeling of the reversal learning task
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Sequential analysis of large scale data screening problem
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Bayesian analysis of stochastic volatility models with Levy jumps
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Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions
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Attrition in longitudinal twin studies: a comparative study of SEM estimation methods
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Thermodynamic profiles of galaxy cluster gas using a multiwavelength analysis of X-ray and microwave data
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Nonlinear modeling and machine learning methods for environmental epidemiology
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Some bandit problems
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Biometric models of psychopathic traits in adolescence: a comparison of item-level and sum-score approaches
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Stochastic inference for deterministic systems: normality and beyond
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Inferring gene flow across spatial landscapes
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Knowledge-driven representations of physiological signals: developing measurable indices of non-observable behavior
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Multiple vehicle segmentation and tracking in complex environments
Clustering 16S rRNA sequences: an accurate and efficient approach
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Application of Bayesian methods in association mapping
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Discovery of complex pathways from observational data
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Homeostatic imbalance and monetary delay discounting: effects of feeding on RT, choice, and brain response
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Bayesian methods for autonomous learning systems
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Gene mapping using haplotype data
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Body pose estimation and gesture recognition for human-computer interaction system
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Model, identification & analysis of complex stochastic systems: applications in stochastic partial differential equations and multiscale mechanics
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Model-based segmentation and tracking of multiple humans in complex situations
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