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Estimating Brazilian Monthly GDP: a State-Space Approach
(EGV EPGE, 2016)
Estimating Brazilian Monthly GDP: a State-Space Approach
(EGV EPGE, 2016)
The effectiveness of Bayesian state-space models for estimating behavioural states from movement paths
(Wiley, 2013-05)
1. Bayesian state-space movement models have been proposed as a method of inferring behavioural states from movement paths (Morales et al. 2004), thereby providing insight into the behavioural processes from which patterns ...
Bayesian Estimation Of A Skew-student-t Stochastic Volatility Model
(SPRINGERDORDRECHT, 2015)
Kalman filter and correction of the temperatures estimated by PRECIS model
(Elsevier Science IncNew YorkEUA, 2011)
Optimal Identification of Potential-Radiation Hydrodynamics for Moored Floating Structures - A New General Approach in State Space
(Elsevier, 2004-12)
In this paper, a new state-space model of the potential-radiation hydrodynamics in moored ocean engineering floating structures and its parameter identification are presented. The raw data for this goal are the added mass ...
Model error estimation using the expectation maximization algorithm and a particle flow filter
(Society of Industrial and Applied Mathematics, 2021-03)
Model error covariances play a central role in the performance of data assimilation methods applied to nonlinear state-space models. However, these covariances are largely unknown in most of the applications. A misspecification ...