In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution

适用于空间计量的各种模型，包括SVAR SEM SMD 等，以及各种检验，如LM Walds等-least-squares, simultaneous systems (2SLS,3SLS, SUR) limited dependent variable (logit, probit, tobit) and Bayesian variants time-series (VAR, BVAR, ECM) estimation and accompanying forecasting func