dynare/matlab/kalman/likelihood
Stéphane Adjemian (Charybdis) c1b6a58eb7 Manually revert 05fc096569.
Robust prediction error covariance matrix computation is now optional (with
rescale_prediction_error_covariance option).

Closes #1437.
2017-04-27 10:44:27 +02:00
..
computeDLIK.m Reduce memory requirements for analytic Hessian. 2012-08-21 16:00:55 +02:00
kalman_filter.m Manually revert 05fc096569. 2017-04-27 10:44:27 +02:00
kalman_filter_d.m Diffuse Kalman filter: add comment for better comparison to Koopman/Durbin (2003) as there is a typo in their paper 2016-11-04 09:21:53 +01:00
kalman_filter_fast.m Manually revert 05fc096569. 2017-04-27 10:44:27 +02:00
kalman_filter_ss.m Make multivariate kalman filter and smoother robust to badly scaled covariance matrix of observables. 2015-10-13 17:15:01 +02:00
missing_observations_kalman_filter.m Manually revert 05fc096569. 2017-04-27 10:44:27 +02:00
missing_observations_kalman_filter_d.m Diffuse Kalman filter: add comment for better comparison to Koopman/Durbin (2003) as there is a typo in their paper 2016-11-04 09:21:53 +01:00
univariate_computeDLIK.m Reduce memory requirements for analytic Hessian. 2012-08-21 16:00:55 +02:00
univariate_computeDstate.m Reduce memory requirements for analytic Hessian. 2012-08-21 16:00:55 +02:00
univariate_kalman_filter.m Add header info to univariate_kalman_filter.m 2016-08-22 19:24:35 +02:00
univariate_kalman_filter_d.m Add comment on logic of singularity testing in univariate_kalman_filter_d.m 2016-08-22 19:24:35 +02:00
univariate_kalman_filter_ss.m Add comments to Kalman filtering routines 2016-08-22 19:24:35 +02:00