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12 changes: 12 additions & 0 deletions gemact/source/gemanalytics.rst
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Expand Up @@ -29,6 +29,18 @@ contacts:
* e-mail: edoardo(dot)glaucoluini(at)unicatt(dot)it
* `GitHub <https://github.com/EdoLu>`_

**Davide Ruffini** (*Developer*)

I am an actuary and data scientist working on quantitative modelling projects in the (re)insurance industry. I collaborate with the GEMAct team on the design and implementation of new stochastic models for pricing and reserving.

My research interests include dependence modelling, statistical learning for non-life insurance, and the development of reproducible actuarial software.

Contacts:

* e-mail: davide(dot)ruffini(at)gmail(dot)com
* `GitHub <https://github.com/Davide-Ruffini>`_
* `LinkedIn <https://www.linkedin.com/in/davide-ruffini/>`_

**Andrea Biancheri** (*Business Expert, Contributor*)

I have been working in the reinsurance industry for more than 15 years. Currently, I am a pricing actuary in P&C reinsurance.
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30 changes: 27 additions & 3 deletions gemact/source/modeling.rst
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@@ -1,10 +1,10 @@
Actuarial modeling with GEMAct
====================================

Distributions
Distributions (univariate)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The following table lists the distributions supported by GEMAct and makes a comparison with `SciPy <https://scipy.org/>`_.
The table below summarises the univariate distributions supported by GEMAct together with the availability of equivalent implementations in `SciPy <https://scipy.org/>`_.


+--------------------------------------------------+---------------------+--------------------+-----------------------------+
Expand Down Expand Up @@ -82,9 +82,33 @@ The following table lists the distributions supported by GEMAct and makes a comp
| Uniform |`uniform` | continuous |:math:`\textcolor{green}{Y}` |
+--------------------------------------------------+---------------------+--------------------+-----------------------------+

Copulas
Multivariate Distributions and Copulas
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Multivariate Distributions
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

The table below lists the multivariate distributions currently provided by GEMAct and indicates whether a direct counterpart exists in `SciPy <https://scipy.org/>`_.


+--------------------------------------------------+---------------------------+-------------------------+-----------------------------+
| Distribution | GEMAct name | Support | SciPy(Y/N) |
| | | | |
+==================================================+===========================+=========================+=============================+
| Multinomial | `multinomial` | multivariate discrete |:math:`\textcolor{green}{Y}` |
+--------------------------------------------------+---------------------------+-------------------------+-----------------------------+
| Dirichlet Multinomial | `dirichlet multinomial` | multivariate discrete |:math:`\textcolor{green}{Y}` |
+--------------------------------------------------+---------------------------+-------------------------+-----------------------------+
| Negative Multinomial | `negative multinomial` | multivariate discrete |:math:`\textcolor{red}{N}` |
+--------------------------------------------------+---------------------------+-------------------------+-----------------------------+
| Multivariate Binomial | `multivariate binomial` | multivariate discrete |:math:`\textcolor{red}{N}` |
+--------------------------------------------------+---------------------------+-------------------------+-----------------------------+
| Multivariate Poisson | `multivariate poisson` | multivariate discrete |:math:`\textcolor{red}{N}` |
+--------------------------------------------------+---------------------------+-------------------------+-----------------------------+

Copulas
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

The following table lists the copulas supported by GEMAct.


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