class_docstr: Distributional model components
  
  Parameters
  ----------
  design : formulae.DesignMatrices
      The object with all the required design matrices and information about the model terms.
  priors : dict
      A dictionary where keys are term names and values are their priors.
  response_name : str
      The name of the response or target. If ``response_kind`` is ``"data"``, it's the name of
      the response variable. If ``response_kind`` is ``"param"`` it's the name of the parameter.
      An example of the first could be "Reaction" and an example of the latter could be "sigma"
      or "kappa".
  response_kind : str
      Specifies whether the distributional component models the response (``"data"``) or an
      auxiliary parameter (``"param"``). When ``"data"`` this is actually modeling the "parent"
      parameter of the family.
  spec : bambi.Model
      The Bambi model
code: def add_hsgp_terms(self, priors):
      for name, term in self.design.common.terms.items():
          if is_hsgp_term(term):
              prior = priors.pop(name, None)
              self.terms[name] = HSGPTerm(term, prior, self.prefix)
  
imports: import formulae
  import numpy
  import xarray
  from bambi.defaults import get_default_prior
  from bambi.families import univariate, multivariate
  from bambi.priors import Prior
  from bambi.terms import CommonTerm, GroupSpecificTerm, HSGPTerm, OffsetTerm, ResponseTerm
  from bambi.utils import get_aliased_name, is_hsgp_term
label_desc: Use image node_id 4 for calling the DistributionalComponent obj's underlying member method code with example usage: obj.add_hsgp_terms(priors) without return types