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Bayesian vector autoregression, a time series model
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Bayesian estimation using Markov chain Monte Carlo methods in pharmacokinetic system analysis
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Automated classification algorithms for high-dimensional data
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First steps towards extracting object models from natural scenes
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Compartmental modeling framework for investigating pathway-based statistical methodology and study design in candidate gene association studies
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Municipal bond issuance:  Institutional investor expectations and underwriter selection in an issuer's market
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Inventory and pricing models for perishable products
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Imputation methods for missing data in growth curve models
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Facial animation by expression cloning
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Physiologically-based pharmacokinetics and mechanistically-based pharmacodynamics of geldanamycin derivatives and their application in clinical trials
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Identifying susceptibility genes for complex diseases by accounting for epistasis in studies of candidate genes
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Methods for the analysis of missing covariate data in individually matched case-control studies
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Optimal And Adaptive Control Of A Stochastic Service System With Applications To Hospitals
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Signal Detection Theoretic Approach To The Diagnostic Problem:  An Interactive Multi-Stage Model
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A Decision-Theoretic Approach To Response Surface Methodology
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Efficient Learning Of Risc Sensor-Based Manipulation Plans
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Econometric modelling of United States regional electricity demand under peak-load pricing
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Model selection in dynamic models
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A Bayesian analysis of pooling cross-section time series data: An investigation of company investment behavior
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Estimation of parameters and missing values under a regression model with non-randomly incomplete and non-normally distributed data
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