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#Com.numericalmethod.suanshu.stats.dlm.univariate Classes and Interfaces - 8 results found.
| Name | Description | Type | Package | Framework |
| DLM | This is the multivariate controlled DLM (controlled Dynamic Linear Model) specification. | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |
| DLMSeries | This is a simulator for a multivariate controlled dynamic linear model process. | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |
| DLMSeries .Entry | This is the TimeSeries. | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |
| DLMSim | This is a simulator for a univariate controlled dynamic linear model process. | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |
| DLMSim .Innovation | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu | |
| LinearKalmanFilter | The Kalman filter, also known as linear quadratic estimation (LQE), is an algorithm which uses a series of measurements observed over time, | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |
| ObservationEquation | This is the observation equation in a controlled dynamic linear model. | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |
| StateEquation | This is the state equation in a controlled dynamic linear model. | Class | com.numericalmethod.suanshu.stats.dlm.univariate | SuanShu |