2 citations · 2 across the 5 of their papers we have counts for
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stat.ME2025
The Nearest-Neighbor Derivative Process: Modeling Spatial Rates of Change in Massive Datasets
Jiawen Chen, Aritra Halder, Yun Li +2
Gaussian processes (GPs) are instrumental in modeling spatial processes, offering precise interpolation and prediction capabilities across fields such as environmental science and…
stat.ME2024
Gaussian Processes for Time Series with Lead-Lag Effects with applications to biology data
Wancen Mu, Jiawen Chen, Eric S. Davis +4
Investigating the relationship, particularly the lead-lag effect, between time series is a common question across various disciplines, especially when uncovering biological process…