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Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling

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Bayesian computational technique

On Cross Validation, Log Gaussian Cox Process and Variational Bayes

Hans Montcho, Ph.D. Student, Statistics
Apr 29, 10:00 - 12:00

B2 R5220; Zoom Meeting 99219689653

Bayesian computational technique Bayesian computational statistics latent Gaussian models Point patterns spital point patterns

This dissertation advances Bayesian computation by developing a cross validation approach to assess LGCPs defined on Euclidean, manifolds or network domains and improving skewed posterior approximations for LGMs.

Hans Montcho

Ph.D. Student, Statistics

Bayesian computational statistics machine learning Bayesian computational technique cross validation point processes statistics Python (Programming Language)

Hans Montcho is a Ph.D. Ph.D. candidate In Statistics at the King Abdullah University of Science and Technology (KAUST).

Bayesian Computational Statistics and Modeling (BAYESCOMP)

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