depth for functional data

KAUST alumna’s paper recognized by American Statistical Association

1 min read · Tue, Apr 30 2019

Awards News Spotlight

data transformations wind emulation and forecasting depth for functional data

KAUST alumna Yuan Yan recently received an honorable mention from the American Statistical Association (ASA) for her paper entitled "Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid." Yan, who participated in the ASA student paper competition last year, will be officially recognized for her contribution later this year at the association's 2019 Joint Statistical Meetings in Denver, Colorado, U.S., from July 27 to August 1.

Yuan Yan

Ph.D. Student, Statistics

Non-Gaussian spatio-temporal processes data transformations wind emulation and forecasting depth for functional data

Yuan Yan is presently working as a Postdoc at Dalhousie University, Halifax, Canada Education: B.A. in Computing Mathematics, 2012, City University of Hong Kong M.S ., 2014, King Abdullah University of Science and Technology Ph.D. ., 2018, King Abdullah University of Science and Technology Research Interests Non-Gaussian spatio-temporal processes, data transformations, wind emulation and forecasting, depth for functional data.