diff --git a/doc/dynare.texi b/doc/dynare.texi
index 38f90a9cc..090b805cc 100644
--- a/doc/dynare.texi
+++ b/doc/dynare.texi
@@ -4216,10 +4216,10 @@ The Monte Carlo Markov Chain (MCMC) diagnostics are generated
 by the estimation command if @ref{mh_replic} is larger than 2000 and if 
 option @ref{nodiagnostic} is not used. If @ref{mh_nblocks} is equal to one,
 the convergence diagnostics of @cite{Geweke (1992,1999)} is computed. It uses a
-chi square test to compare the means of the first and last draws specified in 
-@ref{geweke_interval} (@pxref{geweke_interval}) after discarding the burnin of @ref{mh_drop}. The test is 
+chi square test to compare the means of the first and last draws specified by
+@ref{geweke_interval} after discarding the burnin of @ref{mh_drop}. The test is
 computed using variance estimates under the assumption of no serial correlation
-as well as using tapering windows specified in @ref{taper_steps} (@pxref{taper_steps}).
+as well as using tapering windows specified in @ref{taper_steps}.
 If @ref{mh_nblocks}  is larger  than 1, the convergence diagnostics of 
 @cite{Brooks and Gelman (1998)} are used instead.
 As described in section  3 of @cite{Brooks and Gelman (1998)} the univariate
@@ -4771,7 +4771,7 @@ Percent tapering used for the spectral window in the @cite{Geweke (1992,1999)}
 convergence diagnostics (requires @ref{mh_nblocks}=1). The tapering is used to 
 take the serial correlation of the posterior draws into account. Default: @code{[4 8 15]}.
 
-@item geweke_interval = [@var{double} @var{double}]
+@item geweke_interval = [@var{DOUBLE} @var{DOUBLE}]
 @anchor{geweke_interval}
 Percentage of MCMC draws at the beginning and end of the MCMC chain taken 
 to compute the @cite{Geweke (1992,1999)} convergence diagnostics (requires @ref{mh_nblocks}=1)