Computational_Statistics
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Course materials for Computational Statistics, PhD course at EMAp.
https://arxiv.org/pdf/2403.16920.pdf
https://arxiv.org/pdf/2206.09036.pdf
Assingning articles/topics to students leaves the door to articles not being selected. Probably assigning students to articles/topics is a better way to uniformly distribute themes. Maybe creating a "most uniform"...
-symmetrisation -Rademacher random variables
- [ ] Reparametrisation and variance reduction - [ ] Bootstrap - [ ] Expectation Maximisation - [ ] Simulated Annealing - [ ] Laplace Approximation
https://www.cs.fsu.edu/~mascagni/Hammersley-Handscomb.pdf
- [A general perspective on the Metropolis–Hastings kernel](https://arxiv.org/pdf/2012.14881.pdf) - [Rao–Blackwellization in the MCMC era](https://arxiv.org/pdf/2101.01011.pdf) - [Control Variates for constrained variables](https://ieeexplore.ieee.org/document/9944852)
Start from the now [classic paper](https://doi.org/10.1080/01621459.2017.1285773) and work from there.