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Bayesian Computational Statistics and Modeling
BAYESCOMP
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data science

2018 Workshop on Statistics and Data Science

Nov 12, 08:30 - Nov 15, 17:00

Auditorium 0215 between Buildings 4 & 5

data science high dimensional statistics modeling biological processes physical processes

The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). View Workshop's Agenda.

Małgorzata Forystek

M.S. Student, Statistics

Bayesian computational statistics data science

Statistics Master's student interested in Data Science

Eman Abdullah Kabbas

Ph.D. Student, Applied Mathematics and Computational Sciences

Bayesian and computational Statistics Bayesian Data Aalysis data science Applied and theoretical statistics Data Sciences

Deeply passionate about Bayesian statistics, Eman Kabbas is a Math/Statistics Lecturer in the General Studies Department at Jubail Industrial College (JIC). Currently, Eman is a Ph.D. candidate in Applied Mathematics and Computational Sciences at KAUST, specializing in Bayesian statistics under the supervision of Professor Håvard Rue.

Bayesian Computational Statistics and Modeling (BAYESCOMP)

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