Generate posterior statistics for node.

        :Parameters:
        alpha : float
          The alpha level for generating posterior intervals. Defaults to
          0.05.

        start : int
          The starting index from which to summarize (each) chain. Defaults
          to zero.

        batches : int
          Batch size for calculating standard deviation for non-independent
          samples. Defaults to 100.

        chain : int
          The index for which chain to summarize. Defaults to None (all
          chains).

        quantiles : tuple or list
          The desired quantiles to be calculated. Defaults to (2.5, 25, 50, 75, 97.5).

def stats(self, alpha=0.05, start=0, batches=100,
              chain=None, quantiles=(2.5, 25, 50, 75, 97.5)):
        """
        Generate posterior statistics for node.

        :Parameters:
        alpha : float
          The alpha level for generating posterior intervals. Defaults to
          0.05.

        start : int
          The starting index from which to summarize (each) chain. Defaults
          to zero.

        batches : int
          Batch size for calculating standard deviation for non-independent
          samples. Defaults to 100.

        chain : int
          The index for which chain to summarize. Defaults to None (all
          chains).

        quantiles : tuple or list
          The desired quantiles to be calculated. Defaults to (2.5, 25, 50, 75, 97.5).
        """
        return self.trace.stats(alpha=alpha, start=start, batches=batches,
                                chain=chain, quantiles=quantiles)