Index Catalog // Arch : Northwestern University Institutional Repository

Description:: For stochastic simulation optimization in a modern computing era, we introduce a new parallel framework for solving very large-scale problems using a ranking & selection (R&S) approach that simulates all systems or feasible solutions to provide a global statistical guarantee. We propose a parallel adaptive survivor selection (PASS) framework that...
Keyword:: master-worker, simulation, parallel, stochastic, large-scale, and optimization
Subject:: Applied mathematics, Statistics, and Operations research
Creator:: Pei, Linda
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_903888 and http://dissertations.umi.com/northwestern:16108

Description:: Cells are often precisely organized into patterns within developing tissues. This precision must emerge from biochemical processes within, and between cells, that are inherently stochastic. I investigated the impact of stochastic gene expression on self-organized pattern formation, focusing on Senseless (Sens), a key target of Wnt and Notch signaling during...
Keyword:: gene expression, microRNA, cell fate, Drosophila, self-organization, and noise
Subject:: Applied mathematics, Statistics, and Developmental biology
Creator:: Giri, Ritika
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_763812 and http://dissertations.umi.com/northwestern:15251

Description:: The ever growing desire for accurate estimation and efficient learning necessitates the efforts to quantitatively characterize uncertainties for models. In this thesis, four problems pertaining to uncertainty quantification are discussed: A sequential stopping framework of constructing fixed-precision confidence regions is proposed for a class of multivariate simulation problems where variance...
Keyword:: Ranking and Selection, Reinforcement Learning, Statistical Learning, Stochastic Gradient Descent, and Uncertainty Quantification
Subject:: Applied mathematics, Statistics, and Computer science
Creator:: Zhu, Yi
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 01/21/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15080 and etdadmin_upload_741745

Description:: Forecasting U.S. elections has been a field of interest for many researchers, with various statistical and mathematical models being proposed. In my research, I analyzed a prior election model, the SIS election model. In this model, a system of differential equations traditionally used in epidemiology to study disease transmission (but...
Keyword:: Data science , Mathematical model , Statistical analysis , and US elections
Subject:: Applied mathematics and Statistics
Creator:: Brian Hsu
Owner:: Brian Alan Hsu
Date Uploaded:: 09/13/2020
Date Modified:: 09/13/2020
Date Created:: 2020
Resource Type:: Conference Proceeding

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