3 papers
physics.class-ph2019
Thinking towards Motion Modeling: on High-order Derivatives of Displacement
Shixiong Wang, Andrew Lim
This note is concerned with the problem of motion modeling in Physics. We aim to use the Time-Variant Local Autocorrelation Polynomial to understand the mathematical model of motio…
stat.AP2019
Deep Pattern of Time Series and Its Applications in Estimation, Forecasting, Fault Diagnosis and Target Tracking
Shixiong Wang, Chongshou Li, Andrew Lim
The information contained in a time series is more than what the values themselves are. In this paper, the Time-variant Local Autocorrelated Polynomial model with Kalman filter is…
stat.AP2019
Why Are the ARIMA and SARIMA not Sufficient
Shixiong Wang, Chongshou Li, Andrew Lim
The autoregressive moving average (ARMA) model takes the significant position in time series analysis for a wide-sense stationary time series. The difference operator and seasonal…