The warehouse traveling salesman problem and its application
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On limiting distribution and convergence rates of random processes defined over discrete structures
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Bayesian inference using Markov chain Monte Carlo methods in pharmacokinetic /pharmacodynamic systems analysis
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Bayesian estimation using Markov chain Monte Carlo methods in pharmacokinetic system analysis
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Evaluating treatment options for metastatic, castration-resistant prostate cancer: a comprehensive value assessment
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UWB indoor diffusion channel model and its application to receiver design
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Markov decision process approach to optimal resource management in multiservice cellular networks
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Optimal dividend and investment problems under Sparre Andersen model
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Power spectrum density of Markov chain driving processes
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A Gibbs sampling approach for genetic linkage parameter estimation
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Feature learning for imaging and prior model selection
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Essays on bioinformatics and social network analysis: statistical and computational methods for complex systems
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New approaches using probabilistic graphical models in health economics and outcomes research
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Semi-Markov analysis for acquisition systems, with application to spread spectrum communication acquisition problem
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Towards tractable parameter -free statistical learning
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Essays in health economics
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Population modeling and Bayesian estimation for the deconvolution of blood alcohol concentration from transdermal alcohol biosensor data
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Noise benefits in expectation-maximization algorithms
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Probabilistic medical image imputation via Wasserstein and conditional deep adversarial learning
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Nonlinear modeling and machine learning methods for environmental epidemiology
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Bogoliubov quasiparticles in Andreev bound states of aluminum nanobridge Josephson junctions
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Discovery of complex pathways from observational data
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