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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Short description of portfolio item number 1
Short description of portfolio item number 2
Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni and Marcello Restelli
Published in International Joint Conference on Neural Networks, 2019
In this paper, we tackle the problem of feature selection for both classification and regression problems. We find a new bound for the classification and regression error achieved by the ideal classifier working on different subsets of features.
Giulia Bissoli, Celeste Principi, Gian Matteo Rinaldi, Mario Beraha and Alessandra Guglielmi
Published in Book of Short Papers Sis 2019, 2019
In this work, we propose a Bayesian model for the analysis of flow counts on a network for an application to a bike sharing platform (BikeMi) in Milano.
Mario Beraha and Alessandra Guglielmi
Published in Bayesian Analysis, 2019
In this work, we comment on the article by Camerlenghi and co authors, proposing an approximation to their latent nested process, that we obtain by truncating a priori the stick-breaking construction of a nested Dirichlet Process.
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Joint work with Alessandra Guglielmi and Fernando Quintana
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Joint work with Alessandra Guglielmi
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You can check the livestream of the webinar on YouTube!
Bachelor course, Politecnico di Milano, 2020
1st semester, A.Y. 19/20: tutor for the classes of Statistics 101 for all bachelor students at Politecnico di Milano
Master course, Politecnico di Milano, 2020
1st semester, A.Y. 19/20: tutor for the class “Bayesian Statistics” for Mathematical Engineering masters students, held by Professor A. Guglielmi