# Monte Carlo Methods ## Links By way of [[Luke Gorrie]], a set of resources about [[Sequential Monte Carlo]] and [[Particle Filters]]: - [SMC and Particle Methods Resources](https://www.stats.ox.ac.uk/~doucet/smc_resources.html) - [Particle Filter Explained without Equations - YouTube](https://www.youtube.com/watch?v=aUkBa1zMKv4) - [Understanding the Particle Filter | | Autonomous Navigation, Part 2 - YouTube](https://www.youtube.com/watch?v=NrzmH_yerBU) Another lecture resource I probably found through [[Luke Gorrie]]: - [Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1) - YouTube](https://www.youtube.com/watch?v=pHsuIaPbNbY) An article I know I already read acouple of years ago when I was into [[Statistics]] and was studying books like [[BOOK - Statistical Rethinking - Richard McElreath]] is this blog post taking a pretty practical, not alot of maths formulas approach to explaining monte carlo and I think the [[Gibbs Sampling]] - [Markov chain Monte Carlo without the bullshit (2015) | Hacker News](https://news.ycombinator.com/item?id=33332437) Im fact, the next link I saved was exactly the lecture from [[BOOK - Statistical Rethinking - Richard McElreath]]: - [Statistical Rethinking 2022 Lecture 08 - Markov chain Monte Carlo - YouTube](https://www.youtube.com/watch?v=Qqz5AJjyugM)