spatio-temporal statistics

Yang Xiao

Ph.D. Student, Statistics

spatio-temporal statistics bayesian inference Public Health Adaptive modeling forecasting Python (Programming Language)

Yang Xaio research specializes in the development of advanced spatio-temporal models and Bayesian frameworks.

Meet KAUST prospective student: Xiaotian Jin

1 min read · Thu, Sep 3 2020

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.

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.