About Xiaotian Jin Xiaotian Jin Ph.D. Student, Statistics Statistical Modeling spatio-temporal statistics scientific computing Python (Programming Language) statistical analysis algorithms optimization Xiaotian's research focuses on developing computationally efficient non-Gaussian statistical frameworks and the theoretical analysis, with a particular focus on modeling complex spatio-temporal dependencies in high-dimensional environmental datasets. Articles Related News September 2020 Meet KAUST prospective student: Xiaotian Jin 1 min read · Thu, Sep 3 2020 News Statistical Modeling spatio-temporal statistics Xiaotian Jin is a graduate of Wenzhou-Kean University in China (a campus of Kean University in the USA). Xiaotian will join KAUST this fall as a M.S./Ph.D. candidate in the KAUST Stochastic Processes and Applied Statistics research group under the supervision of Professor David Bolin.
Meet KAUST prospective student: Xiaotian Jin 1 min read · Thu, Sep 3 2020 News Statistical Modeling spatio-temporal statistics Xiaotian Jin is a graduate of Wenzhou-Kean University in China (a campus of Kean University in the USA). Xiaotian will join KAUST this fall as a M.S./Ph.D. candidate in the KAUST Stochastic Processes and Applied Statistics research group under the supervision of Professor David Bolin.
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