[Mboost-commits] r782 - www_src

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

Author: thothorn
Date: 2014-07-23 16:22:03 +0200 (Wed, 23 Jul 2014)
New Revision: 782

Modified:
   www_src/04_publications.Rmd
   www_src/mboost.bib
   www_src/site.css
Log:
add publications

Modified: www_src/04_publications.Rmd
===================================================================
--- www_src/04_publications.Rmd	2014-07-23 11:23:56 UTC (rev 781)
+++ www_src/04_publications.Rmd	2014-07-23 14:22:03 UTC (rev 782)
@@ -18,7 +18,8 @@
 The theory and package are described in the review by
 `r Citet(bib, "Buehlmann:2008:StatSci")`, an overview about the implementation
 is given in `r Citet(bib, "Hothorn+Buehlmann+Kneib+Schmid+Hofner_2010")`
-and `r Citet(bib, "Hothorn:2006:Bioinformatics:16940323")`.
+and `r Citet(bib, "Hothorn:2006:Bioinformatics:16940323")`. A tutorial
+can be found in `r Citet(bib, "Hofner_Mayr_Robinzonov_2014")`.
 
 Applications in survival analysis are described in
 `r Citet(bib, "Hothorn:2006:Biostatistics:16344280")` and
@@ -26,7 +27,8 @@
 
 Geoadditive models have been dealt with by 
 `r Citet(bib, "Kneib+Hothorn+Tutz:2009")` and
-`r Citet(bib, "Hothorn+Mueller+Schroeder_2011")`.
+`r Citet(bib, "Hothorn+Mueller+Schroeder_2011")` and, with special emphasis
+on monotonicity constraints, by `r Citet(bib, "Hofner_Mueller_Hothorn_2011")`.
 
 Boosted quantile regression models were introduced by
 `r Citet(bib, "Fenske+Kneib+Hothorn_2011")` and later extended
@@ -45,6 +47,8 @@
 `r Citet(bib, "Hothorn_Kneib_Buehlmann_2014")` used componentwise array
 boosting to fit a novel class of conditional transformation models; 
 some simplifications are given by `r Citet(bib, "Moest_Schmid_Faschingbauer_2014")`.
+In a similar spirit, `r Citet(bib, "Mayr_Fenske_Hofner_2012")` use the 
+package to fit GAMLSS models.
 
 **References**
 

Modified: www_src/mboost.bib
===================================================================
--- www_src/mboost.bib	2014-07-23 11:23:56 UTC (rev 781)
+++ www_src/mboost.bib	2014-07-23 14:22:03 UTC (rev 782)
@@ -1,7 +1,7 @@
 
 @article{Buehlmann_Yu_2003,
    author    = {Peter B{\"u}hlmann and Bin Yu},
-   title     = {Boosting with {$L_2$} Loss: Regression and
+   title     = {Boosting with L2 Loss: Regression and
        Classification},
    journal   = {Journal of the American Statistical
        Association},  
@@ -10,3 +10,37 @@
    volume    = {98},  
    number    = {462}
 }
+
+ at article{Hofner_Mayr_Robinzonov_2014,
+  author = {Benjamin Hofner and Andreas Mayr and Nikolay Robinzonov and Matthias Schmid},
+  title = {Model-based Boosting in R: a Hands-on Tutorial Using the R Package Mboost},
+  year = {2014},
+  journal = {Computational Statistics},
+  volume = {29},
+  number = {1-2},
+  DOI = {10.1007/s00180-012-0382-5},
+  pages = {3--35}
+}
+
+ at article{Hofner_Mueller_Hothorn_2011,
+  author = {Benjamin Hofner and J\"org M\"uller and Torsten Hothorn},
+  title = {Monotonicity-constrained Species Distribution Models},
+  year = {2011},
+  journal = {Ecology},
+  volume = {92},
+  number = {10},
+  DOI = {10.1890/10-2276.1},
+  pages = {1895--1901}
+}
+
+ at article{Mayr_Fenske_Hofner_2012,
+  author = {Andreas Mayr and Nora Fenske and Benjamin Hofner and Thomas Kneib and Matthias Schmid},
+  title = {Generalized Additive Models for Location, Scale and Shape for High Dimensional Data-a Flexible Approach Based on Boosting: {Boosting} {Generalized} {Additive} {Models} for {Location,} {Scale} and {Shape}},
+  year = {2012},
+  journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)},
+  volume = {61},
+  number = {3},
+  DOI = {10.1111/j.1467-9876.2011.01033.x},
+  pages = {403--427}
+}
+

Modified: www_src/site.css
===================================================================
--- www_src/site.css	2014-07-23 11:23:56 UTC (rev 781)
+++ www_src/site.css	2014-07-23 14:22:03 UTC (rev 782)
@@ -1,3 +1,3 @@
-a         { color: #a7b057; text-decoration: none; }
-a:visited { color: #b9615f; }
+a         { color: #536921; text-decoration: none; }
+a:visited { color: #ac826c; }