Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic
|
| gptkbp:application |
gptkb:signal_processing
economics engineering finance weather prediction sales forecasting |
| gptkbp:hasConcept |
gptkb:music
gptkb:white_noise cross-validation mean absolute error overfitting root mean squared error underfitting model selection confidence interval seasonality stationarity outliers residuals autocorrelation backtesting cointegration trend differencing cross-correlation forecast error lag mean absolute percentage error prediction interval |
| gptkbp:hasMethod |
gptkb:Kalman_filter
gptkb:prophecy gptkb:SARIMA Fourier analysis GARCH models moving average Holt-Winters method VAR models LSTM networks |
| https://www.w3.org/2000/01/rdf-schema#label |
Time Series and Forecasting
|
| gptkbp:includes |
gptkb:ARIMA_models
gptkb:exponential_smoothing time series analysis trend analysis seasonal decomposition autocorrelation analysis forecasting methods stationarity testing |
| gptkbp:relatedTo |
gptkb:machine_learning
data analysis statistics econometrics |
| gptkbp:uses |
statistical models
historical data time series data deep learning models machine learning models |
| gptkbp:bfsParent |
gptkb:P._Newbold
|
| gptkbp:bfsLayer |
7
|