Bayesian Inference for Probabilistic Risk Assessment A Practitioner's Guidebook / by Dana Kelly, Curtis Smith.
Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemen...
Full description
Saved in: