The following pages link to (Q3188233):
Displaying 12 items.
- Autoregressive state-space approach for numerical signal analysis (Q1128469) (← links)
- Book review of: J. Casals et al., State-space methods for time series analysis. Theory, applications and software (Q2359177) (← links)
- Time series analysis by state space methods. (Q2891271) (← links)
- TF-MIDAS: a transfer function based mixed-frequency model (Q3389613) (← links)
- Fast estimation methods for time-series models in state–space form (Q3615060) (← links)
- (Q3774774) (← links)
- The Foreman Lecture: the State Space Approach to Time Series Analysis and its Potential for Official Statistics (with Discussion) (Q4949639) (← links)
- Stochastic and deterministic trend in state space models (Q5082746) (← links)
- State–Space Methods for Time Series Analysis: Theory, Applications and Software, by Jose Casals, Alfredo Garcia‐Hiernaux, Miguel Jerez, Sonia Sotoca, and A. Alexandre Trindade. Published by CRC Press, 2016. Total number of pages: 270. ISBN: 9781482219 (Q5357991) (← links)
- Temporal disaggregation of economic time series: The view from the trenches (Q6147723) (← links)
- Identification of canonical models for vectors of time series: a subspace approach (Q6579386) (← links)
- Macroeconomic forecasting evaluation of MIDAS models (Q6609949) (← links)
