From 635912a7313915a3fdf1c81086fc44bd57d61378 Mon Sep 17 00:00:00 2001
From: MLopez-Ibanez <2620021+MLopez-Ibanez@users.noreply.github.com>
Date: Tue, 23 Jan 2024 12:05:42 +0000
Subject: [PATCH]  * articles.bib (LewKurJoe2009gen): Fix journal title.

---
 articles.bib | 45 ++++++++++++++++++++++++++++++++-------------
 1 file changed, 32 insertions(+), 13 deletions(-)

diff --git a/articles.bib b/articles.bib
index bc57123..8be5caf 100644
--- a/articles.bib
+++ b/articles.bib
@@ -9640,19 +9640,6 @@ @Article{KimParLee2017
   pages =        {1719--1732}
 }
 
-@Article{LewKurJoe2009gen,
-  title = {Generating Random Correlation Matrices Based on Vines and Extended Onion Method},
-  author = {Lewandowski, Daniel and Kurowicka, Dorota and Joe, Harry},
-  year = {2009},
-  journaltitle = jmva,
-  volume = {100},
-  number = {9},
-  pages = {1989--2001},
-  doi = {10.1016/j.jmva.2009.04.008},
-  abstract = {We extend and improve two existing methods of generating random correlation matrices, the onion method of Ghosh and Henderson [S. Ghosh, S.G. Henderson, Behavior of the norta method for correlated random vector generation as the dimension increases, ACM Transactions on Modeling and Computer Simulation (TOMACS) 13 (3) (2003) 276-294] and the recently proposed method of Joe [H. Joe, Generating random correlation matrices based on partial correlations, Journal of Multivariate Analysis 97 (2006) 2177-2189] based on partial correlations. The latter is based on the so-called D-vine. We extend the methodology to any regular vine and study the relationship between the multiple correlation and partial correlations on a regular vine. We explain the onion method in terms of elliptical distributions and extend it to allow generating random correlation matrices from the same joint distribution as the vine method. The methods are compared in terms of time necessary to generate 5000 random correlation matrices of given dimensions.},
-  keywords = {Correlation matrix; Dependence vines; Onion method; Partial correlation; LKJ}
-}
-
 @Article{KinBa2014adam,
   title =        {Adam: A method for stochastic optimization},
   author =       {Kingma, Diederik P. and Ba, Jimmy},
@@ -10688,6 +10675,38 @@ @Article{Levin1973
   year =         1973
 }
 
+@Article{LewKurJoe2009gen,
+  author       = {Lewandowski, Daniel and Kurowicka, Dorota and Joe, Harry},
+  title        = {Generating Random Correlation Matrices Based on Vines and
+                  Extended Onion Method},
+  journal      = jmva,
+  year         = 2009,
+  volume       = 100,
+  number       = 9,
+  pages        = {1989--2001},
+  doi          = {10.1016/j.jmva.2009.04.008},
+  abstract     = {We extend and improve two existing methods of generating
+                  random correlation matrices, the onion method of Ghosh and
+                  Henderson [S. Ghosh, S.G. Henderson, Behavior of the norta
+                  method for correlated random vector generation as the
+                  dimension increases, ACM Transactions on Modeling and
+                  Computer Simulation (TOMACS) 13 (3) (2003) 276-294] and the
+                  recently proposed method of Joe [H. Joe, Generating random
+                  correlation matrices based on partial correlations, Journal
+                  of Multivariate Analysis 97 (2006) 2177-2189] based on
+                  partial correlations. The latter is based on the so-called
+                  D-vine. We extend the methodology to any regular vine and
+                  study the relationship between the multiple correlation and
+                  partial correlations on a regular vine. We explain the onion
+                  method in terms of elliptical distributions and extend it to
+                  allow generating random correlation matrices from the same
+                  joint distribution as the vine method. The methods are
+                  compared in terms of time necessary to generate 5000 random
+                  correlation matrices of given dimensions.},
+  keywords     = {Correlation matrix; Dependence vines; Onion method; Partial
+                  correlation; LKJ}
+}
+
 @Article{Li2008two,
   title =        {A two-step rejection procedure for testing multiple
                   hypotheses},