code: def _ar_invtransparams(params):
      """
      Inverse of the Jones reparameterization
  
      Parameters
      ----------
      params : array_like
          The transformed AR coefficients
      """
      params = params.copy()
      tmp = params.copy()
      for j in range(len(params) - 1, 0, -1):
          a = params[j]
          for kiter in range(j):
              tmp[kiter] = (
                  params[kiter] + a * params[j - kiter - 1]
              ) / (1 - a**2)
          params[:j] = tmp[:j]
      invarcoefs = 2 * np.arctanh(params)
      return invarcoefs
  
imports: from __future__ import annotations
  from statsmodels.compat.python import Literal, lrange
  import warnings
  import numpy
  import pandas
  from pandas import DataFrame
  from pandas.tseries import offsets
  from pandas.tseries.frequencies import to_offset
  from statsmodels.tools.data import _is_recarray, _is_using_pandas
  from statsmodels.tools.sm_exceptions import ValueWarning
  from statsmodels.tools.typing import NDArray
  from statsmodels.tools.validation import array_like, bool_like, int_like, string_like
label_desc: Use image node_id 17 for calling a global function with example usage: _ar_invtransparams(params) and returns: invarcoefs