lectures learned
- tools and techniques
- 1 Modeling covid19: https://python.quantecon.org/sir_model.html
- 2 QR decomposition: https://python.quantecon.org/qr_decomp.html
- 3 circulant matrices: https://python.quantecon.org/eig_circulant.html
- elementary statistics
- 4 multivariate normal distribution: https://python.quantecon.org/multivariate_normal.html
- 5 Fault tree uncertainties: https://python.quantecon.org/hoist_failure.html
- 6 intro ANN: https://python.quantecon.org/back_prop.html
- 7 Res: https://python.quantecon.org/rand_resp.html
- 8 Eu of rr: https://python.quantecon.org/util_rand_resp.html
- 9 SVD: https://python.quantecon.org/svd_intro.html
- linear programming
- 10 linear programming: https://python.quantecon.org/lp_intro.html
- 11 Ot: https://python.quantecon.org/opt_transport.html
- 12 vN growth model: https://python.quantecon.org/von_neumann_model.html
- Intro to dynamics
- 13 inventory dynamics: https://python.quantecon.org/inventory_dynamics.html
- 14 Lssm: https://python.quantecon.org/linear_models.html
- 15 sma: https://python.quantecon.org/samuelson.html
- 16 Kf: https://python.quantecon.org/kalman.html
- Lq control
- asset pricing and finance
- data and empirics
- Auctions
- time series models
- Risk, model uncertainty and robustness
- dynamic programming squared
- dynamic linear economies