Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Articulate the need for computational approaches, such as Markov chain Monte Carlo (MCMC) algorithms, to Bayesian inference. Implement various MCMC algorithms to find posterior distributions, ...

Bayesian approaches to statistical inference combine prior beliefs with observed data through a likelihood function to yield a posterior distribution, offering a coherent framework for uncertainty ...

Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and ...