All models are wrong, but some are useful : voting theory and DNA storage

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Abstract/Contents

Abstract
In this dissertation, we apply a selection of abstract, theoretical models to real-world problems --- electing a candidate or council, running a sports tournament, and storing information in DNA --- in order to elucidate their underlying dynamics. In voting theory, we determine that for certain types of voter preferences (where voters' rankings are determined by distances in a metric space), the goals of minimizing social cost and maximizing fairness are closely linked. For sports tournaments, we learn that randomly-seeded, single-elimination brackets can be surprisingly bad at selecting a strong winning team, but demonstrate some redeeming qualities that may explain their popularity. And in DNA storage, we show that the storage capacity can be significantly affected by the physical properties of the nanopore channel used for sequencing, but most channels of this type should be close to optimal.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Hulett, Reyna Marie
Degree supervisor Wootters, Mary
Thesis advisor Wootters, Mary
Thesis advisor Charikar, Moses
Thesis advisor Weissman, Tsachy
Degree committee member Charikar, Moses
Degree committee member Weissman, Tsachy
Associated with Stanford University, Computer Science Department

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Reyna Hulett.
Note Submitted to the Computer Science Department.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/tx556wx3603

Access conditions

Copyright
© 2021 by Reyna Marie Hulett
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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