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Foundations of Computational Economics with Python: Modeling Markets, Consumer Behavior, and Economic Systems Using Code (Quantitative Economics & Python Series)
Foundations of Computational Economics with Python: Modeling Markets, Consumer Behavior, and Economic Systems Using Code (Quantitative Economics & Python Series)
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Introduction to Computational Economics Using Fortran
Introduction to Computational Economics Using Fortran
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Behavioral Economics and Computational Intelligence for Sustainable Decision Making: Integrating AI and Behavioral Insights to Drive Economic ... (Studies in Computational Intelligence, 1232)
Behavioral Economics and Computational Intelligence for Sustainable Decision Making: Integrating AI and Behavioral Insights to Drive Economic ... (Studies in Computational Intelligence, 1232)
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Limit Order Book Models and Microstructure Economics With Python (Richman Computational Economics)
Limit Order Book Models and Microstructure Economics With Python (Richman Computational Economics)
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Advanced Computational Macroeconomics & Policy Simulation with Python: Building Dynamic Macroeconomic Models for Forecasting and Strategic Decision-Making (Quantitative Economics & Python Series)
Advanced Computational Macroeconomics & Policy Simulation with Python: Building Dynamic Macroeconomic Models for Forecasting and Strategic Decision-Making (Quantitative Economics & Python Series)
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Basic Economics: With Python (Richman Computational Economics)
Basic Economics: With Python (Richman Computational Economics)
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Basic Economics: With Python (Richman Computational Economics)
Basic Economics: With Python (Richman Computational Economics)
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Limit Order Book Models and Microstructure Economics With Python (Richman Computational Economics)
Limit Order Book Models and Microstructure Economics With Python (Richman Computational Economics)
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Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
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Nonlinear State-Space Econometrics for Trading Signals With Python: Particle Filters, SMC², and Rao-Blackwellization for Real-Time Trading Signals (Richman Computational Economics)
Nonlinear State-Space Econometrics for Trading Signals With Python: Particle Filters, SMC², and Rao-Blackwellization for Real-Time Trading Signals (Richman Computational Economics)
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Econometric Algorithmic Trading using Machine Learning With Python: From Stationarity to Execution Building Tradable Signals with Econometrics and ML (Richman Computational Economics)
Econometric Algorithmic Trading using Machine Learning With Python: From Stationarity to Execution Building Tradable Signals with Econometrics and ML (Richman Computational Economics)
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Economic Growth and Development Models: With Python (Richman Computational Economics)
Economic Growth and Development Models: With Python (Richman Computational Economics)
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Mathematical Foundations of Bond Valuation: With Python (Richman Computational Economics)
Mathematical Foundations of Bond Valuation: With Python (Richman Computational Economics)
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Advanced Auction Theory and Mechanisms: With Python (Richman Computational Economics)
Advanced Auction Theory and Mechanisms: With Python (Richman Computational Economics)
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Life Insurance Mathematics: With Python (Richman Computational Economics)
Life Insurance Mathematics: With Python (Richman Computational Economics)
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Stochastic Processes and Economic Analysis: With Python (Richman Computational Economics)
Stochastic Processes and Economic Analysis: With Python (Richman Computational Economics)
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Econometric Causality and Structural Equation Modeling (Richman Computational Economics)
Econometric Causality and Structural Equation Modeling (Richman Computational Economics)
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Life Insurance Mathematics: With Python (Richman Computational Economics)
Life Insurance Mathematics: With Python (Richman Computational Economics)
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Advanced Mathematics and Algorithms for Interest Rate Derivatives (Richman Computational Economics)
Advanced Mathematics and Algorithms for Interest Rate Derivatives (Richman Computational Economics)
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Nonlinear State-Space Econometrics for Trading Signals With Python: Particle Filters, SMC², and Rao-Blackwellization for Real-Time Trading Signals (Richman Computational Economics)
Nonlinear State-Space Econometrics for Trading Signals With Python: Particle Filters, SMC², and Rao-Blackwellization for Real-Time Trading Signals (Richman Computational Economics)
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Bayesian Hierarchical Models for Economic Forecasting (Richman Computational Economics)
Bayesian Hierarchical Models for Economic Forecasting (Richman Computational Economics)
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Lie Groups, Lie Algebras, and Symmetry Methods in Trading Algorithms: With Python (Richman Computational Economics)
Lie Groups, Lie Algebras, and Symmetry Methods in Trading Algorithms: With Python (Richman Computational Economics)
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Hawkes Processes and Their Applications in High-Frequency Trading: With Python (Richman Computational Economics)
Hawkes Processes and Their Applications in High-Frequency Trading: With Python (Richman Computational Economics)
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Nonlinear Dynamics and Chaos in Economic Systems: With Python (Richman Computational Economics)
Nonlinear Dynamics and Chaos in Economic Systems: With Python (Richman Computational Economics)
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Machine Learning Techniques in Econometrics: With Python (Richman Computational Economics)
Machine Learning Techniques in Econometrics: With Python (Richman Computational Economics)
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Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
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Fractal Geometry and the Zeroes of the Zeta Function in Market Analysis: With Python (Richman Computational Economics)
Fractal Geometry and the Zeroes of the Zeta Function in Market Analysis: With Python (Richman Computational Economics)
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Stochastic Differential Geometry and Manifold Learning in High-Frequency Trading: With Python (Richman Computational Economics)
Stochastic Differential Geometry and Manifold Learning in High-Frequency Trading: With Python (Richman Computational Economics)
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Econometric Algorithmic Trading using Machine Learning With Python: From Stationarity to Execution Building Tradable Signals with Econometrics and ML (Richman Computational Economics)
Econometric Algorithmic Trading using Machine Learning With Python: From Stationarity to Execution Building Tradable Signals with Econometrics and ML (Richman Computational Economics)
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Fractal Geometry and the Zeroes of the Zeta Function in Market Analysis: With Python (Richman Computational Economics)
Fractal Geometry and the Zeroes of the Zeta Function in Market Analysis: With Python (Richman Computational Economics)
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Economic Growth and Development Models: With Python (Richman Computational Economics)
Economic Growth and Development Models: With Python (Richman Computational Economics)
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Computational Intelligence and Optimization Methods for Sustainable Water Management
Computational Intelligence and Optimization Methods for Sustainable Water Management
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