The conventional autoregressive (AR) model has been widely applied in the various electroencephalogram (EEG) analyses such as spectrum estimation, waveform fittings, and in classification tasks.Nevertheless, evoked EEG is usually inevitably contaminated by multiple background activities (ongoing EEG) as well as the strong outliers which may distort
Risk perception, online search and consumption distortion
Using earthquake TINTED LIP BALM as an example, I investigate how risk perception affects household consumption with China Urban Household Survey data and Baidu index dataset.The empirical results show that consumption expenditure per capita drops by 25.2 yuan as the local search index of “earthquake” keyword increases by one standard deviation
Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis
BackgroundInternet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance.However, the effectiveness of the Baidu search index (BSI) in predicting the incidence of scarlet fever remains uncertain.ObjectiveOur objective was to
Envisioning desirable futures in small-scale fisheries: a transdisciplinary arts-based co-creation process
Despite the critical importance of small-scale fisheries for food security and well-being and the role of fishers as stewards of aquatic ecosystems, their future is uncertain.Tackling narratives that portray small-scale fisheries as obsolete, disparate, and inefficient requires collectively imagining and articulating new, creative, and inspiring na