diff --git a/doc/manual/source/the-model-file.rst b/doc/manual/source/the-model-file.rst
index 03819f8f67bb278b3ebc3f01723484905e2d1f23..0ba1cdc33baa46bf1701b02615ef29c05fc800ef 100644
--- a/doc/manual/source/the-model-file.rst
+++ b/doc/manual/source/the-model-file.rst
@@ -5401,6 +5401,16 @@ block decomposition of the model (see :opt:`block`).
 
     so that the sequence of proposals will be different across different runs.
 
+    Finally, Dynare does not always properly distinguish between maximum
+    likelihood and Bayesian estimation in its field names. While there is
+    an important conceptual distinction between frequentist confidence intervals
+    and Bayesian highest posterior density intervals (HPDI) as well as between
+    posterior density and  likelilhood, Dynare sometimes uses the Bayesian
+    terms as a stand-in in its display of maximum likelihood results. An
+    example is the storage of the output of the ``forecast``-option of
+    ``estimation`` with ML, which will use ``HPDinf/HPDsup`` to denote
+    the confidence interval.
+
     *Algorithms*
 
     The Monte Carlo Markov Chain (MCMC) diagnostics are generated by
@@ -9617,7 +9627,7 @@ the :comm:`bvar_forecast` command.
 
         Variable set by the ``forecast`` command, or by the
         ``estimation`` command if used with the ``forecast`` option
-        and if no Metropolis-Hastings has been computed (in that case,
+        and ML or if no Metropolis-Hastings has been computed (in that case,
         the forecast is computed for the posterior mode). Fields are
         of the form::
 
@@ -9629,38 +9639,34 @@ the :comm:`bvar_forecast` command.
 
                 Lower bound of a 90% HPD interval [#f8]_ of forecast
                 due to parameter uncertainty, but ignoring the effect
-                of measurement error on observed variables.
+                of measurement error on observed variables. In case of ML,
+                it stores the lower bound of the confidence interval.
 
             ``HPDsup``
 
                 Upper bound of a 90% HPD forecast interval due to
                 parameter uncertainty, but ignoring the effect of
-                measurement error on observed variables.
+                measurement error on observed variables. In case of ML,
+                it stores the upper bound of the confidence interval.
 
             ``HPDinf_ME``
 
                 Lower bound of a 90% HPD interval [#f9]_ of forecast
                 for observed variables due to parameter uncertainty
-                and measurement error.
+                and measurement error. In case of ML,
+                it stores the lower bound of the confidence interval.
 
             ``HPDsup_ME``
 
                 Upper bound of a 90% HPD interval of forecast for
                 observed variables due to parameter uncertainty and
-                measurement error.
+                measurement error. In case of ML,
+                it stores the upper bound of the confidence interval.
 
             ``Mean``
 
                 Mean of the posterior distribution of forecasts.
 
-            ``Median``
-
-                Median of the posterior distribution of forecasts.
-
-            ``Std``
-
-                Standard deviation of the posterior distribution of forecasts.
-
     .. matvar:: oo_.PointForecast
 
         Set by the ``estimation`` command, if it is used with the