Mods for fable ste

DESCRIPTION

@@ -8,16 +8,21 @@ Authors@R: c(person(given = "Dario",
              role = c("aut","cre"),
              email = "dario.azzimonti@gmail.com",
              comment = c(ORCID = "0000-0001-5080-3061")),
+       person(given = "Lorenzo",
+             family = "Zambon",
+             role = c("aut"),
+             email = "lorenzo.zambon@idsia.ch",
+             comment = c(ORCID = "0000-0002-8939-993X")),
+       person(given = "Stefano",
+             family = "Damato",
+             role = c("aut"),
+             email = "stefano.damato@idsia.ch",
+             comment = c(ORCID = "0009-0001-0225-3736")),
       person(given = "Nicolò",
              family = "Rubattu",
              role = c("aut"),
              email = "nicolo.rubattu@idsia.ch",
              comment = c(ORCID = "0000-0002-2703-1005")),
-      person(given = "Lorenzo",
-             family = "Zambon",
-             role = c("aut"),
-             email = "lorenzo.zambon@idsia.ch",
-             comment = c(ORCID = "0000-0002-8939-993X")),
       person(given = "Giorgio",
              family = "Corani",
              role = c("aut"),
@@ -31,8 +36,10 @@ Description: Provides methods for probabilistic reconciliation of hierarchical f
              <doi:10.1016/j.ijforecast.2023.04.003>, 
              Bottom-Up Importance Sampling (Zambon et al., 2024) 
              <doi:10.1007/s11222-023-10343-y>,
-             methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond)
-             (Zambon et al., 2024) <https://proceedings.mlr.press/v244/zambon24a.html>. 
+             methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al., 2024) 
+             <https://proceedings.mlr.press/v244/zambon24a.html>. 
+             reconciliation via conditioning with uncertain covariance matrix via multivariate Student-t (Carrara et al., 2025) 
+             <https://arxiv.org/abs/2506.19554>.
 License: LGPL (>= 3)
 Depends: R (>= 4.1.0)
 Imports:

README.md

@@ -299,13 +299,9 @@ here](https://arxiv.org/abs/2506.19554)
 ## Contributors
 
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@@ -348,15 +344,10 @@ here](https://arxiv.org/abs/2506.19554)
 <sub><b>Giorgio Corani</b></sub></a><br /> <sub> </sub><br />
 <a href="mailto:giorgio.corani@idsia.ch?subject=[bayesRecon package]">Email</a>
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 ## Getting help