About Gulzhan Tumenbayeva Gulzhan Tumenbayeva Ph.D. Student, Statistics Bayesian computational statistics statistics Gulzhan Tumenbayeva 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 Gulzhan obtained her Bachelor of Science in Mathematics, Diploma with Honors in 2017 from Nazarbayev University, Astana, Kazakhstan. Then, she joined the MS/PhD program in Statistics at KAUST in 2017. In 2018, she graduated her Master of Science in Statistics at KAUST. Research Interest Her research interest is mainly in Bayesian and computational Statistics as well as Articles Related News August 2019 BayesComp members at Valencia International Bayesian Analysis Summer School 1 min read · Wed, Aug 28 2019 News The Valencia International Bayesian Analysis Summer School, VIBASS3 was attended by four members of BayesComp. It was an opportunity to get access to the most up to date advances of this field, acquire more skills for PhD research, and to network with other professionals and experts. This school included sessions about Applied Bayesian Computation specifically the NIMBLE Platform for Hierarchical Modeling and MCMC that were presented by Daniel Turk, member of the NIMBLE Development Team. Also, an interesting talk about Bayesian modelling of environmental DNA data was presented by Eleni
BayesComp members at Valencia International Bayesian Analysis Summer School 1 min read · Wed, Aug 28 2019 News The Valencia International Bayesian Analysis Summer School, VIBASS3 was attended by four members of BayesComp. It was an opportunity to get access to the most up to date advances of this field, acquire more skills for PhD research, and to network with other professionals and experts. This school included sessions about Applied Bayesian Computation specifically the NIMBLE Platform for Hierarchical Modeling and MCMC that were presented by Daniel Turk, member of the NIMBLE Development Team. Also, an interesting talk about Bayesian modelling of environmental DNA data was presented by Eleni
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