Uncertainty of Graphical Models Selection

Student: Ilya Kostylev

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

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2024

Graphical model associated with random vector is a graph that represents a structure of dependencies between the components of a random vector. Graphical Model Selection Problem is a task of recovering dependency graph from a data that follows multivariate distribution of a random vector. The main direction of a research is a studying of two important factors concerning data distribution and a structure of a true dependency graph on a quality of graphical model selection algorithms.

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