About Cristian Chiuchiolo Cristian Chiuchiolo Ph.D. Student, Electrical and Computer Engineering Bayesian computational statistics statistics Cristian Chiuchiolo is a Ph.D. candidate In Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Håvard Rue in his research group. Education and Early Career Christian obtained his Bachelor Degree in Statistics in 2015 at Florence, Italy. H e graduated with a Master of Science in Statistics at Bologna, Italy in 2017. Research Interest His research interest is mainly in Bayesian and computational Statistics as well as Probability and applications in R-INLA. Honors and Awards Cristian was announced a SAS Certified Base Events Presented Events Jun 5 - Jun 11, 2022 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.
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.
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