Optimizing the performance of Kalman filter based statistical time-varying air quality models
General
In this study, the Bayesian approach is proposed to estimate the noise variances of Kalman filter based statistical models for predicting the daily averaged PM10 concentrations of a typical coastal city, Macau, with Latitude 22°10’N and Longitude 113°34’E. By using the measurements in 2001 and 2002...
Bayesian inference
Kalman Filter
+3 more