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1 Introduction To Bayesian Machine Learning In Quantitative Finance -- 2 Background To Bayesian Machine Learning In Quantitative Finance -- 3 On the Stochastic Alpha Beta Rho Model and Hamiltonian Monte Carlo Techniques -- 4 Learning Equity Volatility Surfaces using Sparse Gaussian Processes --...
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This book provides a rigorous introduction to the theory, computation, and applications of variational inequalities (VIs), with a focus on applications in management science and finance. It aims to bridge the gap between the abstract mathematical treatments of the subject and simplistic,...
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Chapter 1. Introduction -- Chapter 2. Fixed Income -- Chapter 3. Mathematical Finance -- Chapter 4. Prepayment Model Estimation -- Chapter 5. Stochastic Interest Rate Model -- Chapter 6. Simulation -- Chapter 7. Finite Difference -- Chapter 8. Semi-Analytic MBS Pricing -- Chapter 9....
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