Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinations.
Jue Tao LimKelvin Bryan TanJohn Arputhan AbisheganadenBorame L. DickensPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- high dimensional
- short term
- forecasting model
- forecasting accuracy
- arima model
- grey theory
- exponential smoothing
- demand forecasting
- long term
- load forecasting
- anchovy catches
- low dimensional
- short term load forecasting
- early warning
- failure prediction
- data points
- wind power
- bp neural network
- hybrid model
- dimensionality reduction
- chaotic time series
- financial time series
- box jenkins
- support vector regression
- wavelet support vector machine
- predictive model
- similarity search
- high dimensional data
- autoregressive integrated moving average
- statistical analysis
- multi variate
- financial forecasting
- logistics demand
- sir model
- phase space reconstruction
- moving average
- stock market
- high dimensionality
- motion compensation
- market clearing
- kernel function
- grey model
- forecast models
- nearest neighbor
- prediction model
- white matter
- mackey glass
- support vector machine
- neural network model
- multivariate time series