model{ 
      for (i in 1 : nDate){
         theta[i] ~ dunif(beta[phase[i]], alpha[phase[i]] )
         X[i] ~ dnorm(mu[i], tau[i])
         tau[i] <- 1 / pow(sigma[i], 2)
         mu[i] <- interp.lin(theta[i], calBP[], C14BP[])
      }
   # priors on phase ordering
      alpha[1] ~ dunif(beta[1], theta.max)
      beta[1] ~ dunif(alpha[2], alpha[1])
      alpha[2] ~ dunif(beta[2], beta[1])
      beta[2] ~ dunif(alpha[3], alpha[2])
      alpha[3] ~ dunif(beta[3], beta[2])
      beta[3] ~ dunif(alpha[4], alpha[3])
      alpha[4] ~ dunif(alpha4min, beta[3])
      alpha4min <- max(beta[4], alpha[5])
      beta[4] ~ dunif(beta[5], alpha[4])
      alpha[5] ~ dunif(alpha5min, alpha[4])
      alpha5min <- max(beta[5], alpha[6])
      beta[5] ~ dunif(beta[6], beta5max)
      beta5max <- min(beta[4], alpha[5])
      alpha[6] ~ dunif(beta[6], alpha[5])
      beta[6] ~ dunif(beta[7], beta6max)
      beta6max <- min(alpha[6], beta[5])
      alpha[7] <- beta[6]
      beta[7] ~ dunif(theta.min,alpha[7])
   
      for (i in 1 : 7) {
         alpha.desc[i] <- 10 * round(alpha[i] / 10)
         beta.desc[i] <- 10 * round(beta[i] / 10)
      }
   }