Year: 2020
Type: dissertation
Abstract: The thesis deals with innovative machine learning techniques and it is composed of four papers. The first two papers provide an extension of causal inference frameworks to a machine learning scenario while the last two papers are direct applications of the predictive power of machine learning. The four papers provide applications in the field of public economics.
Source: Lirias
Author: Bargagli Stoffi, Falco Joannes
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6991013102