Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model

Algorithm 1

An MCMC-based sampling algorithm for .

Input: set up initial values , and the number of iterations of the sampling algorithm is .
Output: a sequence of posterior samples .
MCMC iterations: (the detailed Gibbs sampler cycles are outlined as follows)
	For to do:
(1)	Sample ;
(2)	Sample ;
(3)	Sample ;
(4)	Sample ;
(5)	Sample Inverse Gaussian ;
(6)	Sample from (20) based on the Metropolis–Hastings algorithm.
End