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Bayesian analysis of stochastic volatility models with Levy jumps
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Predicting post-wildfire regreen rates: an application of multi-factor regression modeling
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Modeling and predicting with spatial‐temporal social networks
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FDA's Critical Path: Status, Priorities & Models for Collaboration, 2007
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Majestic Yosemite Hotel virtual tour application and indoor model
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Factors influencing gifted students' preferences for models of teaching
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Model, identification & analysis of complex stochastic systems: applications in stochastic partial differential equations and multiscale mechanics
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Vagueness, legal content, and legal interpretation
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Comparison of HLD CAL-MOD scores obtained from digital versus plaster models
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A multi-regional computable general equilibrium model in the Haritage of A. Anas and I. Kim
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Prediction modeling and statistical analysis of amino acid substitutions
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Computational narrative models of character representations to estimate audience perception
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Schema architecture for language-vision interactions: a computational cognitive neuroscience model of language use
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Experimental and model-based analyses of physiological determinants of force variability
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Modeling social and cognitive aspects of user behavior in social media
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Quantifying student growth: analysis of the validity of applying growth modeling to the California Standards Test
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Context dependent utility: an appraisal-based approach to modeling context, framing, and decisions
Model based design of porous and patterned surfaces for passive turbulence control
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3D deep learning for perception and modeling
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Nonlinear models for hippocampal synapses for multi-scale modeling
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A nonlinear pharmacokinetic model used in calibrating a transdermal alcohol transport concentration biosensor data analysis software
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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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Modeling human regulation of momentum while interacting with the environment
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Multivariate biometric modeling among multiple traits across different raters in child externalizing behavior studies
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A general approach to using problem instance data for model refinement in constraint satisfaction problems
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