Bayesian Statistics

Joint Posterior Inference for Latent Gaussian Models and extended strategies using INLA

Cristian Chiuchiolo, Ph.D. Student, Electrical and Computer Engineering

Jun 6, 15:00 - 17:00

B3 L5 R5209

Bayesian computational statistics Bayesian Statistics

Bayesian inference is particularly challenging on hierarchical statistical models as computational complexity becomes a significant issue. Sampling-based methods like the popular Markov Chain Monte Carlo (MCMC) can provide accurate solutions, but they likely suffer a high computational burden.

New paper accepted in JGR - Earth Surface

1 min read · Tue, Jun 25 2019

Statistics of extremes Bayesian Statistics

New accepted paper: Lombardo, L., Bakka, H., Tanyas, H., van Westen, C., Mai, P. M., and Huser, R. (2019+), Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides, Journal of Geophysical Research-Earth Surface [ PDF preprint]