9 citations · 16 across the 7 of their papers we have counts for
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stat.ME2023
Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes
Xiao Liu, Kyongmin Yeo
Inverse problems involve making inference about unknown parameters of a physical process using observational data. This paper investigates an important class of inverse problems --…
stat.ME2016
A Spatio-Temporal Modeling Approach for Weather Radar Reflectivity Data and Its Applications in Tropical Southeast Asia
Xiao Liu, Viknesswaran Gopal, Jayant Kalagnanam
Weather radar echoes, correlated in both space and time, are the most important input data for short-term precipitation forecast. Motivated by real datasets, this paper is concerne…
stat.ME2016★ 2 cited
Statistical Modeling for Spatio-Temporal Degradation Data
Xiao Liu, Kyongmin Yeo, Jayant Kalagnanam
This paper investigates the modeling of an important class of degradation data, which are collected from a spatial domain over time; for example, the surface quality degradation. L…