3 papers
stat.ME2026
Do Stationarity Transformations Actually Improve Time Series Forecasts? A Controlled Experimental Evaluation
Bhanu Suraj Malla, Yuqing Hu
Stationarity transformations, such as differencing, are a common preprocessing step in forecasting, motivated by the idea that modifying a series to achieve stationarity improves a…
stat.ME2026
StationarityToolkit: Comprehensive Time Series Stationarity Analysis in Python
Bhanu Suraj Malla, Yuqing Hu
Time-series stationarity is a property that statistical characteristics such as trend, variance, seasonality remain constant over time. It is considered fundamental to many forecas…
cs.HC2026
From Dyads to Groups: Rethinking Emotional Support with Conversational AI
Yuqing Hu, Wendao Xue, Yifan Yu +1
Advances in artificial intelligence (AI), together with persistent gaps in access to reliable emotional support, have positioned AI as an increasingly prominent source of emotional…