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Chapter 1: Decision Theory and Bayesian Inference Chapter 2: Bayesian Statistics and Linear Regression Chapter 3: Methods of Numerical Integration Chapter 4: Prior Densities for the Regression Model Chapter 5: Dynamic Regression Models Chapter 6: Bayesian Unit Roots Chapter 7: Heteroskedasticity and ARCH Chapter 8: Nonlinear Tome Series Models Chapter 9: Systems of Equations Appendix A: Probability Distributions Appendix B: Generating Random Numbers Chapter 1: Decision Theory and Bayesian Inference Chapter 2: Bayesian Statistics and Linear Regression Chapter 3: Methods of Numerical Integration Chapter 4: Prior Densities for the Regression Model Chapter 5: Dynamic Regression Models Chapter 6: Bayesian Unit Roots Chapter 7: Heteroskedasticity and ARCH Chapter 8: Nonlinear Tome Series Models Chapter 9: Systems of Equations Appendix A: Probability Distributions Appendix B: Generating Random Numbers
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