updated website

gemact/source/gemanalytics.rst

@@ -4,15 +4,16 @@ About us
 **Gabriele Pittarello** (*Owner, Developer*)
 
 
-I am a PhD student in Statistical Sciences at Università 'La Sapienza' di Roma. Currently, I am a visiting researcher at the University of Copenhagen.
+I am postdoctoral researcher in the Section of Biostatistics, at the Department of Public Health of the University of Copenhagen.
 
-I attained a bachelor’s degree in Business Economics from Università di Milano-Bicocca and a master’s degree in Statistical and Actuarial Sciences from Università Cattolica del Sacro Cuore di Milano.
+I obtained my PhD in 'Advances in Claims Reserve Modelling' from the School of Statistical Sciences at 'La Sapienza' University of Rome.
 
-My research interests are primarily claims reserving models in non-life insurance and computational methods for non-life insurance.
+My research interests are primarily survival analysis, claims reserving models in non-life insurance and computational methods for non-life insurance.
 
 Contacts:
 
-*  e-mail: gabriele(dot)pittarello(at)uniroma1(dot)it
+*  e-mail: gabriele(dot)pittarello(at)unito(dot)it
+* `Personal Webpage <https://gpitt71.github.io/>`_
 * `GitHub <https://github.com/gpitt71>`_
 * `LinkedIN <https://www.linkedin.com/in/gabrielepittarello/>`_
 

gemact/source/usage.rst

@@ -15,8 +15,8 @@ Tutorials
 Users might be interested in the following Jupyter notebooks available on `GitHub <https://github.com/gpitt71/gemact-code/tree/main/vignette>`_.
 We provide several examples to familiarize with GEMAct functionalities.
 
-* Click `here <https://github.com/gpitt71/gemact-code/blob/main/vignette/lossmodel.ipynb>`_ to understand how to cost (re)insurance contracts.
-* Click `here <https://github.com/gpitt71/gemact-code/blob/main/vignette/lossaggregation.ipynb>`_ to understand how to perform loss aggregation.
-* Click `here <https://github.com/gpitt71/gemact-code/blob/main/vignette/distributions.ipynb>`_ to understand how to use the distributions supported.
-* Click `here <https://github.com/gpitt71/gemact-code/blob/main/vignette/copulas.ipynb>`_ to understand how to use the copula functions supported.
-* Click `here <https://github.com/gpitt71/gemact-code/blob/main/vignette/lossreserve.ipynb>`_ to understand how to compute loss reserves.
+* Click `here <https://github.com/gpitt71/gemact-code/blob/main/gemact/vignette/Manuscript_code_blocks.ipynb>`_ to check the replication material of the `GEMAct manuscript <https://www.cambridge.org/core/journals/annals-of-actuarial-science/article/gemact-a-python-package-for-nonlife-reinsurance-modeling/5A91AD85ADCD4196BF9CA0F2896D779B>`_.
+* Click `here <https://github.com/gpitt71/gemact-code/blob/main/gemact/vignette/Section_3-Supplementary_material.ipynb>`_ to check the supplementary code to replicate *Section 3.6 Comparison of the methods for computing the aggregate loss distribution* and *Section 3.7. Comparison with aggregate FFT implementation* of the `GEMAct manuscript <https://www.cambridge.org/core/journals/annals-of-actuarial-science/article/gemact-a-python-package-for-nonlife-reinsurance-modeling/5A91AD85ADCD4196BF9CA0F2896D779B>`_.
+* Click `here <https://github.com/gpitt71/gemact-code/blob/main/gemact/vignette/Section_4-Supplementary_material.ipynb>`_ to check the supplementary code to replicate *Section 4.2. Comparison of the methods for computing the cdf* of the `GEMAct manuscript <https://www.cambridge.org/core/journals/annals-of-actuarial-science/article/gemact-a-python-package-for-nonlife-reinsurance-modeling/5A91AD85ADCD4196BF9CA0F2896D779B>`_.
+* Click `here <https://github.com/gpitt71/gemact-code/blob/main/gemact/vignette/Section_5-Supplementary_material.ipynb>`_ to check the supplementary material on Section 5.ipynb provides the supplementary code to replicate Section 5.2.1. Comparasion with chain ladder of the `GEMAct manuscript <https://www.cambridge.org/core/journals/annals-of-actuarial-science/article/gemact-a-python-package-for-nonlife-reinsurance-modeling/5A91AD85ADCD4196BF9CA0F2896D779B>`_.
+* Click `here <https://github.com/gpitt71/gemact-code/blob/main/gemact/vignette/Section_5-Supplementary_material_data_generator.Rmd>`_ to check the supplementary material on the data generator.Rmd provides the R code to simulate the data generation process used in *Section 5. Loss Reserve* and *Appendix C Claims Reserving with the Fisher-Lange* of the `GEMAct manuscript <https://www.cambridge.org/core/journals/annals-of-actuarial-science/article/gemact-a-python-package-for-nonlife-reinsurance-modeling/5A91AD85ADCD4196BF9CA0F2896D779B>`_. It also includes the algorithm to compute the PE of the reserve in *Section 5.2.1. Comparasion with chain ladder*.