[Mboost-commits] r871 - www/publications

[noreply at r-forge.r-project.org]

Author: thothorn
Date: 2018-01-16 16:51:27 +0100 (Tue, 16 Jan 2018)
New Revision: 871

Modified:
   www/publications/index.html
Log:


Modified: www/publications/index.html
===================================================================
--- www/publications/index.html	2018-01-16 15:51:04 UTC (rev 870)
+++ www/publications/index.html	2018-01-16 15:51:27 UTC (rev 871)
@@ -80,7 +80,7 @@
 
 <p>Boosting for generalised additive models with constraints is discussed in
 <a id='cite-Hofner_Kneib_Hothorn_2015'></a><a href='http://dx.doi.org/10.1007/s11222-014-9520-y'>Hofner, Kneib, and Hothorn (2016)</a>. Unbiased model selection in
-generalised additive models is developed in .</p>
+generalised additive models is developed in <a id='cite-HofnerHothornKneib_2011'></a><a href='http://dx.doi.org/10.1198/jcgs.2011.09220'>Hofner, Hothorn, Kneib, and Schmid (2011)</a>.</p>
 
 <p>Applications in survival analysis are described in
 <a id='cite-Hothorn2006Biostatistics16344280'></a><a href='http://dx.doi.org/10.1093/biostatistics/kxj011'>Hothorn, Bühlmann, Dudoit, Molinaro, and van der
@@ -100,7 +100,7 @@
 
 <p>The application of P-spline base-learners was discussed by
 <a id='cite-SchmidHothorn2008b'></a><a href='http://dx.doi.org/10.1016/j.csda.2008.09.009'>Schmid and Hothorn (2008a)</a>. Unbiased model selection
-was implemented as described by <a id='cite-HofnerHothornKneib_2011'></a><a href='http://dx.doi.org/10.1198/jcgs.2011.09220'>Hofner, Hothorn, Kneib, and Schmid (2011)</a>.
+was implemented as described by <a href='http://dx.doi.org/10.1198/jcgs.2011.09220'>Hofner, Hothorn, Kneib, et al. (2011)</a>.
 An approach to non-linear time series can be found in
 <a id='cite-Robinzonov_Tutz_Hothorn_2012'></a><a href='http://dx.doi.org/10.1007/s10182-011-0163-4'>Robinzonov, Tutz, and Hothorn (2012)</a>.
 Boosted classifiers based on a direct optimisation of the partial AUC were