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Probabilistic Python: An Introduction to Bayesian Modeling with PyMC | Pydata London 2022
https://www.youtube.com/watch?v=911d4A1U0BE
00:00 - Begin of presentation 01:20 - Introduction to Probabilistic Programming 03:00 - Bayesian Inference 06:21 - Stochastic Program 06:50 - Prior Distribution 08:15 - Likelihood Function 09:28 - Infer Values for Latent Variables 09:51 - Posterior Distribution 12:17 - Conjugacy 13:14 - Binomial Distribution and Beta Distribution 16:43 - Probabilistic Programming in Python 17:29 - PyMC 41:00 - Markov Chain Monte Carlo 45:00 - Metropolis Sampling 48:00 - Hamiltonian Monte Carlo 50:47 - No U-Turn Sampler (NUTS) 52:56 - Q&A 54:11 - Exampls: Six Nations Rugby Matchups 1:15:09 - Bayesian Fraction of Missing Information 1:16:25 - Potential Scale Reduction 1:17:57 - Goodness of Fit 1:22:41 - Learn More: Ingroductory Course 1:23:09 - Q&A
Probabilistic Python: An Introduction to Bayesian Modeling with PyMC | Pydata London 2022
https://www.youtube.com/watch?v=911d4A1U0BE
00:00 - Begin of presentation 01:20 - Introduction to Probabilistic Programming 03:00 - Bayesian Inference 06:21 - Stochastic Program 06:50 - Prior Distribution 08:15 - Likelihood Function 09:28 - Infer Values for Latent Variables 09:51 - Posterior Distribution 12:17 - Conjugacy 13:14 - Binomial Distribution and Beta Distribution 16:43 - Probabilistic Programming in Python 17:29 - PyMC 41:00 - Markov Chain Monte Carlo 45:00 - Metropolis Sampling 48:00 - Hamiltonian Monte Carlo 50:47 - No U-Turn Sampler (NUTS) 52:56 - Q&A 54:11 - Exampls: Six Nations Rugby Matchups 1:15:09 - Bayesian Fraction of Missing Information 1:16:25 - Potential Scale Reduction 1:17:57 - Goodness of Fit 1:22:41 - Learn More: Ingroductory Course 1:23:09 - Q&A