Testing Infection Graphs / Justin Turner Khim.

Format:

Book

Thesis/Dissertation

Author/Creator:

Khim, Justin Turner, author.

Contributor:

Ma, Zongming, degree supervisor.

University of Pennsylvania. Department of Statistics, degree granting institution.

Language:

English

Subjects (All):

Statistics.

Statistics--Penn dissertations.

Penn dissertations--Statistics.

Local Subjects:

Statistics.

Statistics--Penn dissertations.

Penn dissertations--Statistics.

Genre:

Academic theses.

Physical Description:

1 online resource (116 pages)

Contained In:

Dissertations Abstracts International 81-02B.

Place of Publication:

[Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2019.

Language Note:

English

System Details:

Mode of access: World Wide Web.

text file

Summary:

We study the following problem: given two graphs G0 and G1 defined on a common set of n vertices and a single observation of the statuses of these vertices, i.e. either infected, uninfected, or censored, did the infection spread on G0 or G1? Modern instances of such "infections'' include diseases such as HIV, behaviors such as smoking, or information such as online news articles. For particular stochastic spreading mechanisms, we give algorithms for this testing problem based on hypothesis discretization and permutation-invariance. Additionally, these methods also lead to confidence sets for parameters that also govern the spread of infection and for the graphs on which the infection spread.

Notes:

Source: Dissertations Abstracts International, Volume: 81-02, Section: B.

Advisors: Ma, Zongming; Committee members: Dylan Small; Alexander Rakhlin; Po-Ling Loh.

Department: Statistics.

Ph.D. University of Pennsylvania 2019.

Local Notes:

School code: 0175

ISBN:

9781085582063

Access Restriction:

Restricted for use by site license.

This item must not be sold to any third party vendors.