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Invidious > Channel > Ben Lambert

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YT 2 minutes 5 seconds 4.2K views Shared 2 years ago Ben Lambert Online conference at Oxford University: Inference for expensive systems in mathematical biology YT 2 minutes 14 seconds 3.4K views Shared 3 years ago Ben Lambert Conclusions and references for grammar of graphics YT 11 minutes 37 seconds 3.6K views Shared 3 years ago Ben Lambert The path to a good visualisation using grammar of graphics

YT 3 minutes 23 seconds 1.5K views Shared 3 years ago Ben Lambert Aesthetics and geoms: biological analogy YT 11 minutes 8 seconds 2.3K views Shared 3 years ago Ben Lambert Introducing aesthetics and geoms YT 4 minutes 24 seconds 2.5K views Shared 3 years ago Ben Lambert Comparing traditional versus grammar of graphics approaches to graphing

YT 4 minutes 32 seconds 5K views Shared 3 years ago Ben Lambert Introduction to grammar of graphics short course YT 20 minutes 28 seconds 10K views Shared 4 years ago Ben Lambert Centered versus non-centered hierarchical models YT 9 minutes 46 seconds 8.1K views Shared 6 years ago Ben Lambert The distribution zoo app to help to understand and use probability distributions

YT 21 minutes 35 seconds 7.5K views Shared 6 years ago Ben Lambert How to code up a model with discrete parameters in Stan YT 28 minutes 48 seconds 34K views Shared 6 years ago Ben Lambert How to write your first Stan program YT 14 minutes 35 seconds 4.1K views Shared 6 years ago Ben Lambert How to code up a bespoke probability density in Stan

YT 21 minutes 5 seconds 4.9K views Shared 6 years ago Ben Lambert What are divergent iterations and what to do about them? YT 13 minutes 10 seconds 33K views Shared 6 years ago Ben Lambert Introducing Bayes factors and marginal likelihoods YT 8 minutes 59 seconds 9.1K views Shared 6 years ago Ben Lambert Using a Bayes box to calculate the denominator

YT 9 minutes 24 seconds 4K views Shared 6 years ago Ben Lambert Bob’s bees: the importance of using multiple bees (chains) to judge MCMC convergence YT 6 minutes 21 seconds 19K views Shared 6 years ago Ben Lambert An introduction to continuous conditional probability distributions YT 9 minutes 10 seconds 22K views Shared 6 years ago Ben Lambert An introduction to discrete conditional probability distributions.

YT 8 minutes 21 seconds 41K views Shared 6 years ago Ben Lambert Explaining the intuition behind Bayesian inference YT 12 minutes 26 seconds 28K views Shared 6 years ago Ben Lambert Estimating the posterior predictive distribution by sampling YT 9 minutes 21 seconds 6.2K views Shared 6 years ago Ben Lambert The importance of step size for Random Walk Metropolis

YT 6 minutes 18 seconds 5.7K views Shared 6 years ago Ben Lambert What is the difference between independent and dependent sampling algorithms? YT 20 minutes 40 seconds 21K views Shared 6 years ago Ben Lambert Explaining the difference between confidence and credible intervals YT 11 minutes 49 seconds 60K views Shared 6 years ago Ben Lambert An introduction to inverse transform sampling

YT 14 minutes 19 seconds 59K views Shared 6 years ago Ben Lambert An introduction to importance sampling YT 5 minutes 41 seconds 5.7K views Shared 6 years ago Ben Lambert The ideal measure of a model's predictive fit YT 10 minutes 8 seconds 41K views Shared 6 years ago Ben Lambert Explaining the Kullback-Liebler divergence through secret codes

YT 26 minutes 4 seconds 85K views Shared 6 years ago Ben Lambert An introduction to numerical integration through Gaussian quadrature YT 6 minutes 16 seconds 7.1K views Shared 6 years ago Ben Lambert An introduction to Jeffreys priors - 3 YT 17 minutes 44 seconds 7.3K views Shared 6 years ago Ben Lambert Why we typically use dependent sampling to sample from the posterior

YT 15 minutes 7 seconds 21K views Shared 6 years ago Ben Lambert How to derive a Gibbs sampling routine in general YT 8 minutes 6 seconds 14K views Shared 6 years ago Ben Lambert Why is it difficult to calculate the denominator of Bayes’ rule in practice? YT 10 minutes 30 seconds 5.4K views Shared 6 years ago Ben Lambert How to do integration by sampling

YT 5 minutes 26 seconds 15K views Shared 6 years ago Ben Lambert Using the Random Walk Metropolis algorithm to sample from a cow surface distribution YT 8 minutes 15 seconds 15K views Shared 6 years ago Ben Lambert An introduction to continuous probability distributions. YT 9 minutes 41 seconds 13K views Shared 6 years ago Ben Lambert An example of how an improper prior leads to an improper posterior

YT 4 minutes 40 seconds 16K views Shared 6 years ago Ben Lambert The duality of meaning for likelihoods and probability distributions: the equivalence principle YT 32 minutes 9 seconds 61K views Shared 6 years ago Ben Lambert The intuition behind the Hamiltonian Monte Carlo algorithm YT 6 minutes 50 seconds 22K views Shared 6 years ago Ben Lambert An introduction to Jeffreys priors - 1

YT 12 minutes 45 seconds 14K views Shared 6 years ago Ben Lambert An introduction to Jeffreys priors - 2 YT 5 minutes 42 seconds 11K views Shared 6 years ago Ben Lambert Example likelihood model: waiting times between beer orders YT 13 minutes 43 seconds 15K views Shared 6 years ago Ben Lambert An introduction to importance sampling - optimal importance distributions

YT 18 minutes 58 seconds 82K views Shared 6 years ago Ben Lambert An introduction to Gibbs sampling YT 10 minutes 38 seconds 3.9K views Shared 6 years ago Ben Lambert The problem with discrete approximation to integrals or probability densities YT 9 minutes 31 seconds 7.8K views Shared 6 years ago Ben Lambert The illusion of uninformative priors

YT 15 minutes 39 seconds 35K views Shared 6 years ago Ben Lambert What is meant by entropy in statistics? YT 7 minutes 36 seconds 6.2K views Shared 6 years ago Ben Lambert What is meant by independent sampling and how can it be used to understand a distribution? YT 6 minutes 16 seconds 17K views Shared 6 years ago Ben Lambert An introduction to discrete probability distributions

YT 8 minutes 35 seconds 11K views Shared 6 years ago Ben Lambert Maximum likelihood estimation for the beer example model YT 13 minutes 23 seconds 6.6K views Shared 6 years ago Ben Lambert The problems with using simple Monte Carlo to determine the marginal likelihood YT 8 minutes 56 seconds 6.1K views Shared 6 years ago Ben Lambert The difficulty with real life Bayesian inference: high multidimensional integrals (and sums)

YT 5 minutes 10 seconds 22K views Shared 6 years ago Ben Lambert Two-dimensional discrete distributions: an introduction YT 7 minutes 47 seconds 37K views Shared 6 years ago Ben Lambert Random variables and probability distributions. YT 7 minutes 43 seconds 5.3K views Shared 6 years ago Ben Lambert On the sensitivity of the marginal likelihood to prior choice

YT 5 minutes 30 seconds 35K views Shared 6 years ago Ben Lambert What is a conjugate prior? YT 8 minutes 37 seconds 23K views Shared 6 years ago Ben Lambert An introduction to discrete marginal probability distributions YT 10 minutes 3 seconds 20K views Shared 6 years ago Ben Lambert An introduction to the Beta distribution

YT 17 minutes 13 seconds 5.1K views Shared 6 years ago Ben Lambert Effective sample size: representing the cost of dependent sampling YT 4 minutes 13 seconds 3.5K views Shared 6 years ago Ben Lambert What is meant by overfitting? YT 10 minutes 45 seconds 5.3K views Shared 6 years ago Ben Lambert An introduction to the Poisson distribution - 2