Return the loc and scale of Student's t-distribution with `df` degrees of freedom and the quantiles `median` and `upper_quartile`. The definition of loc and scale follows the convention of `scipy.stats.t.ppf`
:param median: float
:param upper_quartile: float, should be larger than `median`
Returns the mean (mu_0), scaling (occasionally called lambda), the shape (alpha) and scale (beta) of a Normal inverse gamma distribution.
Returns the mean (mu_0), scaling (occasionally called lambda), the shape (alpha) and scale (beta) of a Normal inverse gamma distribution.
Combination of `parameter_from_quantile.normal_parameters` and `parameter_from_quantile.inv_gamma_parameters`. See their documentation for further information. *It is assumed that the shape parameter alpha is larger than 2, so that the distribution has a variance*. See also `parameter_from_quantile.max_inv_gamma_upper_quartile`
Combination of `parameter_from_quantile.normal_parameters` and `parameter_from_quantile.inv_gamma_parameters`. See their documentation for further information. *It is assumed that the shape parameter alpha is larger than 2, so that the distribution has a variance*. See also `parameter_from_quantile.max_inv_gamma_upper_quartile`