The intuition behind the Hamiltonian Monte Carlo algorithm
21:05
What are divergent iterations and what to do about them?
18:58
An introduction to Gibbs sampling
46:40
Hamiltonian mechanics in 12 equivalent characterizations
50:05
6. Simulación de Monte Carlo
17:36
The algorithm that (eventually) revolutionized statistics - #SoMEpi
11:28
An introduction to the Random Walk Metropolis algorithm
1:29:43
Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)
1:03:31