Implementation of Nonlinear Causal Inference in DoWhy

Student: Raguzova Tatyana

Supervisor: Oleg Rivkhatovich Nabiullin

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2020

The main purpose of this work is to study the problem of causal inference, which is very important in various fields of science. Also, the goal is to extend the functionality of the DoWhy library, by adding the function of estimating the direct effect of one variable on another, providing that the relationship between them is non-linear. To analyze the results. The function of data generation has been implemented for the convenience of testing the algorithm performance under all conditions of the task.

Full text (added May 25, 2020)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses