99 citations · 388 across the 21 of their papers we have counts for
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stat.CO2024
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao, Rui Pan, Feng Li +2
Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed…
stat.AP2024
Optimal starting point for time series forecasting
Yiming Zhong, Yinuo Ren, Guangyao Cao +2
Recent advances on time series forecasting mainly focus on improving the forecasting models themselves. However, when the time series data suffer from potential structural breaks o…