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Laura Ferrini's Projects

causal-gaussian-dags icon causal-gaussian-dags

This repository contains all the R codes implemented for my thesis entitled "Causal inference for observational studies"

hierarchical-bayesian-model icon 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 icon 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.

time-series-project icon 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.

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