Updated references in vignettes, index, readme. Updated index links.

Author: dazzimonti

.Rbuildignore

@@ -4,6 +4,7 @@
 ^README\.Rmd$
 ^TODO\.Rmd$
 ^TODO\.md$
+^index\.md$
 ^examples$
 ^\.github$
 ^codecov\.yml$

README.Rmd

@@ -260,12 +260,13 @@ Statistics and Computing 34 (1), 21.
 
 Zambon, L., Agosto, A., Giudici, P., Corani, G. (2024). 
 *Properties of the reconciled distributions for Gaussian and count forecasts*.
-International Journal of Forecasting (in press).
+International Journal of Forecasting 40 (4), 1438-1448.
 [DOI](https://doi.org/10.1016/j.ijforecast.2023.12.004)
 
-Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024). 
-*Probabilistic reconciliation of mixed-type hierarchical time series*. 
-The 40th Conference on Uncertainty in Artificial Intelligence, accepted.
+Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024).
+*Probabilistic reconciliation of mixed-type hierarchical time series*.
+Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence,
+in Proceedings of Machine Learning Research 244:4078-4095. [Available here](https://proceedings.mlr.press/v244/zambon24a.html).
 
 ## Contributors
 

README.md

@@ -275,12 +275,14 @@ Statistics and Computing 34 (1), 21.
 
 Zambon, L., Agosto, A., Giudici, P., Corani, G. (2024). *Properties of
 the reconciled distributions for Gaussian and count forecasts*.
-International Journal of Forecasting (in press).
+International Journal of Forecasting 40 (4), 1438-1448.
 [DOI](https://doi.org/10.1016/j.ijforecast.2023.12.004)
 
 Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024).
 *Probabilistic reconciliation of mixed-type hierarchical time series*.
-The 40th Conference on Uncertainty in Artificial Intelligence, accepted.
+Proceedings of the Fortieth Conference on Uncertainty in Artificial
+Intelligence, in Proceedings of Machine Learning Research 244:4078-4095.
+[Available here](https://proceedings.mlr.press/v244/zambon24a.html).
 
 ## Contributors
 

index.md

@@ -37,10 +37,9 @@ The main functions are:
 
 ## Getting started 
 
-The starting point for `bayesRecon` functions is the vignette in the "Get Started"
-section of the website. Moreover you can find the documentation in the 
-Reference section and additional vignettes in the Articles section. 
-Finally a short example is provided below. 
+The starting point for `bayesRecon` functions is the vignette ["Get Started"](https://idsia.github.io/bayesRecon/articles/bayesRecon.html). 
+You can all find documentation in [Reference section](https://idsia.github.io/bayesRecon/reference/index.html) and additional vignettes in the Articles section. 
+Finally a short example with code is provided below. 
 
 
 ## Installation
@@ -272,9 +271,10 @@ Statistics and Computing 34 (1), 21.
 
 Zambon, L., Agosto, A., Giudici, P., Corani, G. (2024). *Properties of
 the reconciled distributions for Gaussian and count forecasts*.
-International Journal of Forecasting (in press).
+International Journal of Forecasting 40 (4), 1438-1448.
 [DOI](https://doi.org/10.1016/j.ijforecast.2023.12.004)
 
 Zambon, L., Azzimonti, D., Rubattu, N., Corani, G. (2024).
 *Probabilistic reconciliation of mixed-type hierarchical time series*.
-The 40th Conference on Uncertainty in Artificial Intelligence, accepted.
+Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence,
+in Proceedings of Machine Learning Research 244:4078-4095. [Available here](https://proceedings.mlr.press/v244/zambon24a.html). 

vignettes/references.bib

@@ -148,16 +148,23 @@ @article{zambon2022efficient
 
 
 
-
 @article{zambon2024properties,
 title = {Properties of the reconciled distributions for Gaussian and count forecasts},
 journal = {International Journal of Forecasting},
+volume = {40},
+number = {4},
+pages = {1438-1448},
 year = {2024},
 issn = {0169-2070},
-author = {Lorenzo Zambon and Arianna Agosto and Paolo Giudici and Giorgio Corani}
+doi = {https://doi.org/10.1016/j.ijforecast.2023.12.004},
+url = {https://www.sciencedirect.com/science/article/pii/S016920702300136X},
+author = {Lorenzo Zambon and Arianna Agosto and Paolo Giudici and Giorgio Corani},
+keywords = {Reconciliation, Hierarchical forecasting, Importance sampling, Intermittent time series, Probabilistic forecasts}
 }
 
 
+
+
 @article{corani2023probabilistic,
   title={Probabilistic reconciliation of count time series},
   author={Corani, Giorgio and Azzimonti, Dario and Rubattu, Nicol{\`o}},
@@ -188,13 +195,24 @@ @article{agosto2022multivariate
   year={2022}
 }
 
-@inproceedings{zambon2024mixed,
-  title={Probabilistic reconciliation of mixed-type hierarchical time series},
-  author={Zambon, Lorenzo and Azzimonti, Dario and Rubattu, Nicolò and Corani, Giorgio},
-  booktitle={The 40th Conference on Uncertainty in Artificial Intelligence},
-  year={2024}
+
+@InProceedings{zambon2024mixed,
+  title = 	 {Probabilistic reconciliation of mixed-type hierarchical time series},
+  author =       {Zambon, Lorenzo and Azzimonti, Dario and Rubattu, Nicol\`o and Corani, Giorgio},
+  booktitle = 	 {Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence},
+  pages = 	 {4078--4095},
+  year = 	 {2024},
+  editor = 	 {Kiyavash, Negar and Mooij, Joris M.},
+  volume = 	 {244},
+  series = 	 {Proceedings of Machine Learning Research},
+  month = 	 {15--19 Jul},
+  publisher =    {PMLR},
+  pdf = 	 {https://raw.githubusercontent.com/mlresearch/v244/main/assets/zambon24a/zambon24a.pdf},
+  url = 	 {https://proceedings.mlr.press/v244/zambon24a.html}
 }
 
+
+
 @article{MAKRIDAKIS20221325,
     title = {{The M5 competition: Background, organization, and implementation}},
     journal = {International Journal of Forecasting},