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Conditional mean-fields stochastic differential equation and their application
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Model, identification & analysis of complex stochastic systems: applications in stochastic partial differential equations and multiscale mechanics
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Iterative path integral stochastic optimal control: theory and applications to motor control
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Dynamic approaches for some time inconsistent problems
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Inference for stochastic models of molecular data
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Noise benefits in nonlinear signal processing
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Characterization of the STARS (STochastic gene Activation with Regulated Sparseness) mouse line
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Optimal investment and reinsurance problems and related non-Markovian FBSDES with constraints
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Optimal routing through stochastic networks
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Design optimization under uncertainty for rotor blades of horizontal axis wind turbines
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Computer Simulation Of Stochastic Areal Growth
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Learning enabled optimization for data and decision sciences
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The maximum entropy distribution and its covariance matrix.
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On practical network optimization: convergence, finite buffers, and load balancing
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Elements of dynamic programming: theory and application
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Maximum likelihood methods for estimating evolutionary parameters from DNA sequence data
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Optimizing statistical decisions by adding noise
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Identification of time varying delays in linear discrete time stochastic systems
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Optimal And Adaptive Control Of A Stochastic Service System With Applications To Hospitals
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Estimation Of The Parameters Of Sampled-Data Systems By Stochastic Approximation
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A one-median problem on a tree network with stochastic weights
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Comparative study between ART3 and stochastic inversion for an inverse problem in seismology: A proposition for the analysis of a large, sparse, linear system by ART3
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Noise benefits in Markov chain Monte Carlo computation
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Computational tumor ecology: a model of tumor evolution, heterogeneity, and chemotherapeutic response
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Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms
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