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#Com.numericalmethod.suanshu.stats.dlm.multivariate Classes and Interfaces - 8 results found.
| Name | Description | Type | Package | Framework |
| MultivariateDLM | This is the multivariate controlled DLM (controlled Dynamic Linear Model) specification. | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu |
| MultivariateDLMSeries | This is a simulator for a multivariate controlled dynamic linear model process. | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu |
| MultivariateDLMSeries .Entry | This is the TimeSeries. | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu |
| MultivariateDLMSim | This is a simulator for a multivariate controlled dynamic linear model process. | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu |
| MultivariateDLMSim .Innovation | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu | |
| MultivariateLinearKalmanFilter | 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.multivariate | SuanShu |
| MultivariateObservationEquation | This is the observation equation in a controlled dynamic linear model. | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu |
| MultivariateStateEquation | This is the state equation in a controlled dynamic linear model. | Class | com.numericalmethod.suanshu.stats.dlm.multivariate | SuanShu |