code: def wang_ryzin_convolution(h, Xi, Xj):
      # This is the equivalent of the convolution case with the Gaussian Kernel
      # However it is not exactly convolution. Think of a better name
      # References
      ordered = np.zeros(Xi.size)
      for x in np.unique(Xi):
          ordered += wang_ryzin(h, Xi, x) * wang_ryzin(h, Xj, x)
  
      return ordered
  
file_path: statsmodels/statsmodels/nonparametric/kernels.py
imports: import numpy
  from scipy.special import erf
label_desc: Use image node_id 6 for calling a global function with example usage: wang_ryzin_convolution(h, Xi, Xj) and returns: ordered