def METHOD_NAME(
    series: TimeSeries, params: Mapping[str, Any], **kwargs
) -> TimeSeries:
    lmbda = params["fitted"]
    vals = BoxCox.stack_samples(series)
    inv_transformed_vals = np.stack(
        [inv_boxcox(vals[:, i], lmbda[i]) for i in range(series.width)], axis=1
    )
    inv_transformed_vals = BoxCox.unstack_samples(
        inv_transformed_vals, series=series
    )
    return series.with_values(inv_transformed_vals)