Changeset 983 for library/doc/tutorial/02userguide_estim.dox

Timestamp:

05/25/10 22:33:29 (14 years ago)

Author:

smidl

Message:

doc - extensions

Files:

• library/doc/tutorial/02userguide_estim.dox (modified) (3 diffs)

library/doc/tutorial/02userguide_estim.dox

@@ -28 +28 @@
 \li Result Logger is an object (class logger) dedicated to storing important data from the experiment.
 
-Since objects  datasource and the logger has already been introduced in section \ref userguide, it remains to introduce 
+Since objects  datasource and the logger has already been introduced in section \ref userguide_sim, it remains to introduce 
 object \c Bayesian \c Model (bdm::BM).
 
@@ -62 +62 @@
  - logbounds - store also lower and upper bounds on estimates (obtained by calling BM::posterior().qbounds()),
  - logevidence - store also evidence of each step of the Bayes rule.
-These values are stored in given logger (\ref ug_loggers). By default, only mean values of the estimate are stored.
+These values are stored in given logger (\ref ug_store). By default, only mean values of the estimate are stored.
 
 Storing of the evidence is useful, e.g. in model selection task when two models are compared.
@@ -179 +179 @@
 Similarly to the extension of pdf, the estimators (or filters) can be extended via prepared class \c mexBM in directory bdmtoolbox/mex/mex_classes.
 
-An example of such class is mexLaplaceBM in \<toolbox_dir\>\tutorial\userguide\laplace_example.m
+An example of such class is mexLaplaceBM in \<toolbox_dir\>/tutorial/userguide/laplace_example.m
 
 Note that matlab-extended classes of mexEpdf, specifically, mexDirac and mexLaplace are used as outputs of methods posterior and epredictor, respectively.