京东 11.11 红包
Quant Macro w/ Machine Learning 3: Numerical Solution of Dynamic Models
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Lec_8_1: Krusell-Smith model via Machine Learning
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Lec_6_1: Projection with polynomials
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Lec_7_1: Review of Machine learning
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Lec_2_3: Optimization derivative free
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Lec_2_4: Differentiation and interpolation
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Lec_6_3: Finite Element Methods
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Lec_3_3: Deep neural network
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Lec_5_2: Perturbation
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Lec_2_2: Optimization derivative based
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Lec_3_4: Feed forward and backpropagation
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Lec_7_3: Optimal growth model via Euler equation and ML
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Lec_7_2: Curse of dimensionality in quant macro
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Lec_4_2: Python operations
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Lec_3_5: Example, training with NN
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Lec_4_3: Pytorch basics
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Lec_2_1: Floating points
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高级宏观经济理论: 21-Uncertainty in Macro,2
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Quant Macro w/ Machine Learning 1: Intro
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Quant Macro w/ Machine Learning 11: Machine Learning for Dynamic Models
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Lec_7_4: Optimal growth model via Belmanl equation and ML
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Lec 6: macro overview
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lec3_1: value function based numerical method
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Lec_2_1: numerical optimization
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Lec 9: growth
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Quant Macro w/ Machine Learning 5: Projection Methods
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Quant Macro w/ Machine Learning 4: Linearization and Perturbation
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Lec 10: labor market
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Lec_6_2: Smolyak's algorithm
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高级宏观经济理论: 23- Asset pricing 1
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Introduction 1-2
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Lec_5_1: Linearization
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Lec 11: inflation
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lec3_2: euler equation based numerical method
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Lec 3: gain from trade
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lec13-1: dynamic model w/ endogenous state space
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Quant Macro w/ Machine Learning 2: Computation Basics
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Lec 2: production possibility frontier
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高级宏观经济理论: 22-Uncertainty in Macro,3
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高级宏观经济理论: 18-Overlapping Generation Model,1
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Lec 1: principles in micro