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Continuous-Time Stochastic Control and Optimization wit - HardBack NEW Pham, Huy
Continuous-Time Stochastic Control and Optimization wit - HardBack NEW Pham, Huy
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Stochastic Modelling and Control (Monographs on Statist - Davis, M. H. A. - Paperback / sof -01/02/2012
Stochastic Modelling and Control (Monographs on Statist - Davis, M. H. A. - Paperback / sof -01/02/2012
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Deterministic, Stochastic and Thermodynamic Modelling of some Interacting Species (Forum for Interdisciplinary Mathematics)
Deterministic, Stochastic and Thermodynamic Modelling of some Interacting Species (Forum for Interdisciplinary Mathematics)
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Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory (De Gruyter Textbook)
Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory (De Gruyter Textbook)
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Stochastic Modelling of Reaction-Diffusion Processes: 60 (Cambridge Texts in Applied Mathematics, Series Number 60)
Stochastic Modelling of Reaction-Diffusion Processes: 60 (Cambridge Texts in Applied Mathematics, Series Number 60)
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Elements Of Stochastic Modelling (third Edition): 3rd Edition
Elements Of Stochastic Modelling (third Edition): 3rd Edition
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Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance
Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance
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Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2023 (Lecture Notes in Mechanical Engineering)
Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2023 (Lecture Notes in Mechanical Engineering)
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Mathematical Control Theory for Stochastic Partial Differential Equations: 101 (Probability Theory and Stochastic Modelling, 101)
Mathematical Control Theory for Stochastic Partial Differential Equations: 101 (Probability Theory and Stochastic Modelling, 101)
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Martingale Methods in Financial Modelling: 36 (Stochastic Modelling and Applied Probability, 36)
Martingale Methods in Financial Modelling: 36 (Stochastic Modelling and Applied Probability, 36)
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Martingale Methods in Financial Modelling: 36 (Stochastic Modelling and Applied Probability, 36)
Martingale Methods in Financial Modelling: 36 (Stochastic Modelling and Applied Probability, 36)
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Stochastic Calculus and Financial Applications: v. 45 (Stochastic Modelling and Applied Probability)
Stochastic Calculus and Financial Applications: v. 45 (Stochastic Modelling and Applied Probability)
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Stochastic Controls: Hamiltonian Systems and HJB Equations: 43 (Stochastic Modelling and Applied Probability, 43)
Stochastic Controls: Hamiltonian Systems and HJB Equations: 43 (Stochastic Modelling and Applied Probability, 43)
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Numerical Solution of Stochastic Differential Equations: 23 (Stochastic Modelling and Applied Probability, 23)
Numerical Solution of Stochastic Differential Equations: 23 (Stochastic Modelling and Applied Probability, 23)
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Stochastic Control Theory: Dynamic Programming Principle: 72 (Probability Theory and Stochastic Modelling, 72)
Stochastic Control Theory: Dynamic Programming Principle: 72 (Probability Theory and Stochastic Modelling, 72)
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Marginal and Functional Quantization of Stochastic Processes: 105 (Probability Theory and Stochastic Modelling, 105)
Marginal and Functional Quantization of Stochastic Processes: 105 (Probability Theory and Stochastic Modelling, 105)
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Numerical Solution of Stochastic Differential Equations: 23 (Stochastic Modelling and Applied Probability, 23)
Numerical Solution of Stochastic Differential Equations: 23 (Stochastic Modelling and Applied Probability, 23)
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Modelling Extremal Events: for Insurance and Finance: 33 (Stochastic Modelling and Applied Probability, 33)
Modelling Extremal Events: for Insurance and Finance: 33 (Stochastic Modelling and Applied Probability, 33)
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Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory: 86 (Probability Theory and Stochastic Modelling, 86)
Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory: 86 (Probability Theory and Stochastic Modelling, 86)
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Stochastic Controls: Hamiltonian Systems and HJB Equations: 43 (Stochastic Modelling and Applied Probability, 43)
Stochastic Controls: Hamiltonian Systems and HJB Equations: 43 (Stochastic Modelling and Applied Probability, 43)
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Fundamentals of Stochastic Filtering: 60 (Stochastic Modelling and Applied Probability, 60)
Fundamentals of Stochastic Filtering: 60 (Stochastic Modelling and Applied Probability, 60)
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Stochastic Integration in Banach Spaces: Theory and Applications: 73 (Probability Theory and Stochastic Modelling, 73)
Stochastic Integration in Banach Spaces: Theory and Applications: 73 (Probability Theory and Stochastic Modelling, 73)
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Fundamentals of Stochastic Filtering: 60 (Stochastic Modelling and Applied Probability, 60)
Fundamentals of Stochastic Filtering: 60 (Stochastic Modelling and Applied Probability, 60)
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Modelling Extremal Events: for Insurance and Finance (Stochastic Modelling and Applied Probability, 33)
Modelling Extremal Events: for Insurance and Finance (Stochastic Modelling and Applied Probability, 33)
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Deterministic and Stochastic Optimal Control: 1 (Stochastic Modelling and Applied Probability, 1)
Deterministic and Stochastic Optimal Control: 1 (Stochastic Modelling and Applied Probability, 1)
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Continuous-time Stochastic Control and Optimization with Financial Applications: 61 (Stochastic Modelling and Applied Probability, 61)
Continuous-time Stochastic Control and Optimization with Financial Applications: 61 (Stochastic Modelling and Applied Probability, 61)
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Stochastic Differential Equations, Backward SDEs, Partial Differential Equations: 69 (Stochastic Modelling and Applied Probability, 69)
Stochastic Differential Equations, Backward SDEs, Partial Differential Equations: 69 (Stochastic Modelling and Applied Probability, 69)
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Stochastic Stability of Differential Equations: 66 (Stochastic Modelling and Applied Probability, 66)
Stochastic Stability of Differential Equations: 66 (Stochastic Modelling and Applied Probability, 66)
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Stochastic Models in Reliability: 41 (Stochastic Modelling and Applied Probability, 41)
Stochastic Models in Reliability: 41 (Stochastic Modelling and Applied Probability, 41)
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Stochastic Integration and Differential Equations: Version 2.1 (Stochastic Modelling and Applied Probability, 21)
Stochastic Integration and Differential Equations: Version 2.1 (Stochastic Modelling and Applied Probability, 21)
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Stochastic Calculus and Financial Applications: 45 (Stochastic Modelling and Applied Probability, 45)
Stochastic Calculus and Financial Applications: 45 (Stochastic Modelling and Applied Probability, 45)
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Stochastic Integration and Differential Equations: 21 (Stochastic Modelling and Applied Probability, 21)
Stochastic Integration and Differential Equations: 21 (Stochastic Modelling and Applied Probability, 21)
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Numerical Methods for Stochastic Control Problems in Continuous Time: 24 (Stochastic Modelling and Applied Probability, 24)
Numerical Methods for Stochastic Control Problems in Continuous Time: 24 (Stochastic Modelling and Applied Probability, 24)
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Stochastic Optimal Control in Infinite Dimension: Dynamic Programming and HJB Equations: 82 (Probability Theory and Stochastic Modelling, 82)
Stochastic Optimal Control in Infinite Dimension: Dynamic Programming and HJB Equations: 82 (Probability Theory and Stochastic Modelling, 82)
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Marginal and Functional Quantization of Stochastic Processes: 105 (Probability Theory and Stochastic Modelling, 105)
Marginal and Functional Quantization of Stochastic Processes: 105 (Probability Theory and Stochastic Modelling, 105)
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Large Deviations Techniques and Applications: 38 (Stochastic Modelling and Applied Probability, 38)
Large Deviations Techniques and Applications: 38 (Stochastic Modelling and Applied Probability, 38)
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Controlled Markov Processes and Viscosity Solutions: 25 (Stochastic Modelling and Applied Probability, 25)
Controlled Markov Processes and Viscosity Solutions: 25 (Stochastic Modelling and Applied Probability, 25)
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Foundations of Modern Probability: 99 (Probability Theory and Stochastic Modelling, 99)
Foundations of Modern Probability: 99 (Probability Theory and Stochastic Modelling, 99)
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Statistics of Random Processes II: Applications: 6 (Stochastic Modelling and Applied Probability, 6)
Statistics of Random Processes II: Applications: 6 (Stochastic Modelling and Applied Probability, 6)
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Foundations of Modern Probability: 99 (Probability Theory and Stochastic Modelling, 99)
Foundations of Modern Probability: 99 (Probability Theory and Stochastic Modelling, 99)
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