Algorithms for Discrete Data in Statistics and Operations Research

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Publisher: ProQuest
Department: MATH / Applied Mathematics
Title: Algorithms for Discrete Data in Statistics and Operations Research
Institution: Illinois Institute of Technology
Creator(s): Schwartz, William K.
Advisor(s): Petrović, Sonja
Kaul, Hemanshu
Date: 2021-11-19
2021-12
Type: Dissertation
Subject: Markov chains
exponential families
permutation uniformity
networks
ERGMs
dynamic networks
exact test
hypothesis testing
mixed-membership stochastic block models
auctions
statistics
operations research
cominatorial auctions
dynamic programming
Date published: 2021-12-01T00:00:00Z
Sponsor or funding information: The Air Force Office of Scientific Research's grant FA9550-14-1-0141 supported Prof. Petrović's and my initial work on this project.
Access: open access
Identifier: http://hdl.handle.net/10560/islandora:1011986
Identifier: https://arxiv.org/abs/2108.05555