Bayesian estimation is a powerful theoretical paradigm for the operation of the approach to parameter estimation. However, the Bayesian method for statistical inference generally suffers from ...

Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The ...

Abstract: Capturing the mutual dependencies among states is crucial for practical fixed-interval smoothing problems in motion estimation. However, the resulting non-causal properties present ...

gamma_r_true = c(-0.7,-0.7) beta_r_true = c(-1,0.5,0.5) phi_true = -1.2 ####define objects to record the estimation results Ealpha_IN = array(0, dim = c(N_REPS,1 ...