diff --git a/Project.toml b/Project.toml
index a9fe397e9..560cd26d2 100644
--- a/Project.toml
+++ b/Project.toml
@@ -38,7 +38,7 @@ Roots = "1, 2"
 SpecialFunctions = "2"
 StableRNGs = "1"
 StatsBase = "0.33, 0.34"
-TaylorSeries = "0.12, 0.13, 0.14, 0.15, 0.16"
+TaylorSeries = "0.12, 0.13, 0.14, 0.15, 0.16, 0.17"
 Test = "1.6"
 TestItemRunner = "v0.2"
 WilliamsonTransforms = "0.1"
diff --git a/joss/paper.bib b/joss/paper.bib
index 2d1325de5..3323ae07f 100644
--- a/joss/paper.bib
+++ b/joss/paper.bib
@@ -237,4 +237,14 @@ @Article{BenchmarkTools
 primaryClass = {cs.PF},
 adsurl = {https://ui.adsabs.harvard.edu/abs/2016arXiv160804295C},
 adsnote = {Provided by the SAO/NASA Astrophysics Data System}
-}
\ No newline at end of file
+}
+
+@Article{abegaz2012,
+  title= "{Semiparametric estimation of conditional copulas}",
+  author = {Abegaz, Fentaw and Gijbels, Ir{\`e}ne and Veraverbeke, No{\"e}l},
+  journal = {Journal of Multivariate Analysis},
+  volume = {110},
+  pages = {43--73},
+  year = {2012},
+  publisher = {Elsevier}
+}
diff --git a/joss/paper.md b/joss/paper.md
index 6dd598e86..38e245a1b 100644
--- a/joss/paper.md
+++ b/joss/paper.md
@@ -108,7 +108,6 @@ using Turing
   Turing.Turing.@addlogprob! loglikelihood(D, dataset)
 end
 ```
-
 ## The Archimedean interface
 
 Archimedean copulas form a large class of copulas that has seen a lot of theoretical work. Among others, you may take a look at [@mcneilMultivariateArchimedeanCopulas2009b]. We use [`WilliamsonTransforms.jl`](https://github.com/lrnv/WilliamsonTransforms.jl/)'s implementation of the Williamson $d$-transfrom to sample from any archimedean copula, including for example the `ClaytonCopula` with negative dependence parameter in any dimension, which is a first to our knowledge.