Laura Ferrini's repositories
Causal-Gaussian-DAGs
This repository contains all the R codes implemented for my thesis entitled "Causal inference for observational studies"
Hierarchical-Bayesian-model
We developed a Bayesian Hierarchical model to assess emissions of CO2 for different food types. This project investigates different prior choices that allow to take into account different variances across groups
Neural-Networks-Image-Classification
We want to classify songs to their music genre by using spectograms, i.e. plots showing frequencies in a sequential way. To deal with that, we started by using CNN, thus treating spectograms as standard images. We managed to include also the sequential information of frequencies by stacking RNN and CNN layers.
NLP-Classification
NLP task for classification of comments into their emotional meaning
Time-Series-Project
Data are measurements of carbon dioxide on Mauna Loa volcano. We used ARIMA models to deal with non-stationarity. Also seasonality has been taken into account.