Essays on the econometric analysis of cross-sectional dependence
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Empirical methods in control and optimization
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Essays on dynamic control, queueing and pricing
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Hybrid physics-based and data-driven computational approaches for multi-scale hydrologic systems under heterogeneity
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Data-driven optimization for indoor localization
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Parameter estimation in second-order stochastic differential equations
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Statistical inference of stochastic differential equations driven by Gaussian noise
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Active state learning from surprises in stochastic and partially-observable environments
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Reinforcement learning with generative model for non-parametric MDPs
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Improving efficiency to advance resilient computing
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Smarter markets for a smarter grid: pricing randomness, flexibility and risk
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Probabilistic data-driven predictive models for energy applications
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Equilibrium model of limit order book and optimal execution problem
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Discounted stochastic cash flow analysis
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I. Asynchronous optimization over weakly coupled renewal systems
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Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring
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Understanding goal-oriented reinforcement learning
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Computational tumor ecology: a model of tumor evolution, heterogeneity, and chemotherapeutic response
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Controlled McKean-Vlasov equations and related topics
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Emissions markets, power markets and market power: a study of the interactions between contemporary emissions markets and deregulated electricity markets
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Stochastic singular value decomposition texture measurement for image classification
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Comprehensive uncertainty quantification in composites manufacturing processes
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A fast approximation of homogeneous stochastic combat
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Train routing and timetabling algorithms for general networks
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Risk assessment, intrinsic interpolation and computationally efficient models for systems under uncertainty
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