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Predicting alcohol use: a nonlinear model with expectancies and memory associations
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Deep generative models for time series counterfactual inference
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Bootstrapping Variable Selection Procedures In Linear Models
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A probabilistic model predicting retinal ganglion cell responses to natural stimuli
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Clinical prediction models to forecast depression in patients with diabetes and applications in depression screening policymaking
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Large N, T asymptotic analysis of panel data models with incidental parameters
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Modeling of cardiovascular autonomic control in sickle cell disease
Visualizing and modeling vocal production dynamics
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A multi-regional computable general equilibrium model in the Haritage of A. Anas and I. Kim
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Assessing the transferability of a species distribution model for predicting the distribution of invasive cogongrass in Alabama
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The effect of random error in building regression models
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Computational narrative models of character representations to estimate audience perception
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New approaches using probabilistic graphical models in health economics and outcomes research
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The identification, validation, and modeling of critical parameters in lean six sigma implementations
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Computational tumor ecology: a model of tumor evolution, heterogeneity, and chemotherapeutic response
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Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error
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Intelligent knowledge acquisition systems:  from descriptive to predictive models
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Regression modeling of residential magnetic field exposure from wiring configurations
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Three essays on the statistical inference of dynamic panel models
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Digital-Image Restoration Under A Regression Model--The Unconstrained, Linear-Equality And Linear-Inequality Constrained Approaches
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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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Approximating stationary long memory processes by an AR model with application to foreign exchange rate
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Building energy performance estimation approach: facade visual information-driven benchmark performance model
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Multivariate biometric modeling among multiple traits across different raters in child externalizing behavior studies
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Bridging performance gaps by occupancy and weather data-driven energy prediction modeling using neural networks
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