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Computational Statistics
1. Random Variable Generation
1.1. Basic RV Generation
2. Monte Carlo Methods
2.1. Monte Carlo Integration
3. Simulation Based Inference
3.1. Basic MCMC
3.2. Gibbs Sampling
3.3. Metropolis Hastings
3.4. Bayesian Evidence
3.5. High Dimension Space
3.6. Hamiltonian Monte Carlo
4. Probabilistic Modelling
4.1. Graphical Models
4.2. Generalised Linear Models
4.3. Latent Variable Models
5. Maths Appendix
5.1. Basic Probability
5.2. Basic Statistics
5.3. Information Theory
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