Brown University

Search Results

Active filters

Harrison, Matthew (Reader) Cancel selected facet

Refine your results

Items

Items (1-20) out of 25 results

Analytic Methods for Network Data

Description:
This dissertation presents methods for statistical analysis of social network data. First, we develop a Bayesian hierarchical model that calibrates self and peer-reports in order …
Year:
2014
Contributor:
Ott, Miles Q (creator)
Hogan, Joseph (Director)
Harrison, Matthew (Reader)
Barnett, Nancy (Reader)
Gile, Krista (Reader)
Brown University. BIOMED: Biostatistics (sponsor)
Genre:
theses
Subject:
respondent-driven sampling
Bayesian calibration
augmented fixed choice design
Social networks
Language:
English
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Biomarker Detection for Obsessive-Compulsive Disorder-related Distress

Description:
Obsessive compulsive disorder (OCD) is a neurological psychiatric disorder that is characterized by impulses and intrusive thoughts, known as “obsessions”, and repetitive behavior known as …
Year:
2020
Contributor:
Puranik, Tanaya (creator)
Borton, David (Advisor)
Harrison, Matthew (Reader)
McLaughlin, Nicole (Reader)
Borton, David (Reader)
Brown University. Biology and Medicine: Biomedical Engineering (sponsor)
Genre:
theses
Subject:
Obsessive-compulsive disorder
EEG biomarker
Collection:
Biology and Medicine
Biomedical Engineering
Theses and Dissertations
Full Record

Brain Connectivity Analysis using fMRI Data

Description:
In many real-world applications, e.g., brain imaging and or weather patterns, data are captured over particular periods or intervals, which we call time series. Time …
Year:
2020
Contributor:
Cao, Xuefei (creator)
Sandstede, Björn (Advisor)
Luo, Xi (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Applied mathematics
Statistics
fmri
Computational neuroscience
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Cortical Dynamics for Active Vision

Description:
Saccadic eye movements are an essential component of visual behavior in human and non-human primates, as they move the sensitive portion of the eye’s retina …
Year:
2022
Contributor:
Akers-Campbell, Seth (creator)
Jones, Stephanie (Reader)
Harrison, Matthew (Reader)
Sheinberg, David (Reader)
Truccolo, Wilson (Reader)
Sommer, Marc (Reader)
Brown University. Department of Neuroscience (sponsor)
Genre:
theses
Subject:
Visual perception
Saccadic eye movements
Rhesus monkey
Neuroscience
Visual cortex
Contrast sensitivity (Vision)
Neural Dynamics
Neural Coding
Collection:
Neuroscience
Theses and Dissertations
Full Record

Data-Driven Mathematical Analysis with Applications in Dynamical Systems, Biology, and Social Justice

Description:
Abstract of Data-Driven Mathematical Analysis with Applications in Dynamical Systems, Biology, and Social Justice, by Rebecca Santorella Ph.D., Brown University, May 2022. As data becomes …
Year:
2022
Contributor:
Santorella, Rebecca (creator)
Sandstede, Bjorn (Advisor)
Singh, Ritambhara (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Applied mathematics
dynamical systems
Computational biology
Fair Machine Learning
federal sentencing
data science
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Detecting Biomarkers of OCD Through the Use of Behavioral Tasks: Pilot Data Analysis and Task Validation

Description:
Obsessive-compulsive disorder (OCD) is a neuropsychiatric disorder characterized by unwanted thoughts (obsessions) and repetitive behaviors (compulsions) which significantly disrupt an individual’s daily life. Psychological distress …
Year:
2022
Contributor:
Acuff, William Luke (creator)
McLaughlin, Nicole (Advisor)
Borton, David (Reader)
Harrison, Matthew (Reader)
Brown University. Biology and Medicine: Biomedical Engineering (sponsor)
Genre:
theses
Subject:
Neuropsychology
Obsessive-compulsive disorder
EEG biomarker
Neural Engineering
Collection:
Biology and Medicine
Biomedical Engineering
Theses and Dissertations
Full Record

Diagonalizing Random Matrices with Integrable Systems

Description:
This thesis is concerned with the applicationof a certain class of eigenvalue algorithmsto random matrix initial data. In particularwe study numerically the time to first …
Year:
2011
Contributor:
Pfrang, Christian Werner (creator)
Menon, Govind (Director)
Deift, Percy (Reader)
Harrison, Matthew (Reader)
Brown University. Applied Mathematics (sponsor)
Genre:
theses
Subject:
Completely Integrable
Eigenvalue Algorithms
Random matrices
Language:
English
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Image Compression and Data Clustering: New Takes on Some Old Problems

Description:
We explore two topics in this thesis: (1) entropy rate on images, and (2) robust generalized clustering method. On the first topic, we examine the …
Year:
2017
Contributor:
Wang, Wei-Ying (creator)
Geman, Stuart (Advisor)
Harrison, Matthew (Reader)
Bienenstock, Elie (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Image compression
unsupervised clustering
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Infectious Disease Spread on Context-Specific Interaction Networks: Influenza and COVID-19

Description:
The spread of infectious disease is strongly influenced by human interaction. In order to understand this connection and develop effective strategies against future outbreaks, it …
Year:
2021
Contributor:
Mallory, Kristina (creator)
Sandstede, Bjorn (Advisor)
Maxey, Martin (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Epidemiology
Biology--Mathematical models
Applied mathematics
Infection
Influenza
Communicable diseases
COVID-19
Coronavirus infections
Contact tracing (Epidemiology)
Social distancing (Public health)
Influenza--Prevention
SARS-CoV-2
Emerging infectious diseases
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Large deviation based design of an interacting particle method to compute moment generating functions

Description:
This thesis introduces a novel interacting particle scheme that combines large deviation analysis with the standard splitting method and rare event analysis to compute the …
Year:
2025
Contributor:
Liu, Mengjie (creator)
Dupuis, Paul (Advisor)
Nguyen, Oanh (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Large deviations
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Manifold Learning, Topological Data Analysis, and Their Applications to Medical Imaging

Description:
This dissertation aims to develop several statistical methods for learning the manifold and topology structures of data, provide the corresponding theoretical foundations, and apply the …
Year:
2022
Contributor:
Meng, Kun (creator)
Eloyan, Ani (Advisor)
Gatsonis, Constantine (Reader)
Harrison, Matthew (Reader)
Crawford, Lorin (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Applied mathematics
Biostatistics
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Network dynamics of cognitive control and mood during deep brain stimulation for depression

Description:
The research aims in this dissertation are a part of a broader effort to provide new insights on neural mechanisms during different brain states in …
Year:
2023
Contributor:
Allawala, Anusha (creator)
Borton, David (Advisor)
Sheth, Sameer (Reader)
Asaad, Wael (Reader)
Shenhav, Amitai (Reader)
Harrison, Matthew (Reader)
Brown University. Biology and Medicine: Biomedical Engineering (sponsor)
Genre:
theses
Subject:
Electroencephalography
Deep Brain Stimulation
depression
Brain stimulation
local field potential
Collection:
Biology and Medicine
Biomedical Engineering
Theses and Dissertations
Full Record

New Algorithms for Appearance Modeling in Image Segmentation

Description:
Modeling pairwise pixel interactions and how image segments can be distinguished from one another are common starting points of many segmentation approaches. In this thesis, …
Year:
2021
Contributor:
Farias Sales Rocha Neto, Jeova (creator)
Felzenszwalb, Pedro (Advisor)
Harrison, Matthew (Reader)
Kimia, Benjamin (Reader)
Brown University. Engineering: Electrical Sciences and Computer Engineering (sponsor)
Genre:
theses
Subject:
Image analysis
Image Segmentation
Spectral theory (Mathematics)
Mathematical models
Graph Cuts
Collection:
Engineering
Electrical Sciences and Computer Engineering
Theses and Dissertations
Full Record

Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces

Description:
Intracortical brain computer interfaces directly link the brain to external devices. When a person attempts to move, electrodes inserted into the motor cortex can record …
Year:
2014
Contributor:
Homer, Mark L (creator)
Hochberg, Leigh (Director)
Black, Michael (Reader)
Darling, Eric (Reader)
Donoghue, John (Reader)
Harrison, Matthew (Reader)
Brown University. Biomedical Engineering (sponsor)
Genre:
theses
Subject:
Intracortical brain computer interfaces
brain machine interfaces
neural prosthesis
neural signal decoding
Brain-computer interfaces
Machine learning
Signal processing
Language:
English
Collection:
Biology and Medicine
Biomedical Engineering
Theses and Dissertations
Full Record

Optimal Temperature Selection for Infinite Swapping in the Low Temperature Limit

Description:
Monte Carlo methods are arguably among the most general purpose numerical tools currently available. There is a relatively long history of the use of large …
Year:
2019
Contributor:
Wu, Guo-Jhen (creator)
Dupuis, Paul (Advisor)
Harrison, Matthew (Reader)
Budhiraja, Amarjit (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Large deviations
Markov chain Monte Carlo
Freidlin-Wentzell theory
Parallel tempering
Infinite swapping
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Patterns in Network Dynamics

Description:
Many real-world complex systems exhibit dynamics on network structures. Within such systems, patterns emerge in various ways and motivate diverse approaches towards understanding the formation …
Year:
2024
Contributor:
Tian, Moyi (creator)
Sandstede, Björn (Advisor)
Harrison, Matthew (Reader)
Bramburger, Jason (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Nonlinear systems
Applied mathematics
dynamical systems
data science
Lattice dynamics
Reaction-diffusion equations
Pattern formation
Network science
Community robustness
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Quantifying Patterns in Dynamical Systems and Biological Data

Description:
From data clusters to fish swarms, patterns are widespread in both the natural world and in the era of big data. Across a range of …
Year:
2020
Contributor:
McGuirl, Melissa Rose (creator)
Sandstede, Bjorn (Advisor)
Blumberg, Andrew (Reader)
Harrison, Matthew (Reader)
Ramachandran, Sohini (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Genetics
Patterns
agent-based models
spiral waves
topological data analysis
pattern quantification
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Smooth Signed Distance (SSD) Surface Reconstruction Framework

Description:
This thesis presents a global surface reconstruction framework that uses outputs of popular 3D shape acquisition methodologies (ranging from time-of-flight cameras, 3D laser scanners, structured …
Year:
2021
Contributor:
Calakli, Fatih (creator)
Taubin, Gabriel (Advisor)
Ritchie, Daniel (Reader)
Harrison, Matthew (Reader)
Brown University. Engineering: Electrical Sciences and Computer Engineering (sponsor)
Genre:
theses
Subject:
3D vision
implicit function fitting
variational methods
shape acquisition
polygon mesh
adaptive
regularized regression
surface reconstruction
octree
watertight surface
sparse system of equations
Collection:
Engineering
Electrical Sciences and Computer Engineering
Theses and Dissertations
Full Record

State-space Models and Gaussian Processes in Paleoceanography and Paleoclimatology

Description:
For the recent decades, statistical (machine) learning and Bayesian modelling have emerged as popular frameworks for various fields of area, regardless of academy or industry. …
Year:
2020
Contributor:
Lee, Taehee (creator)
Lawrence, Charles (Advisor)
Lisiecki, Lorraine (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Applied mathematics
Paleoclimatology
Gaussian processes
State-space models
Machine learning--Statistical methods
Bayesian Machine Learning
Paleoceanography
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Theory and Computation for Modern Probabilistic Models

Description:
Modern probabilistic models involve computation and analysis in very high-dimensional spaces. Here we explore several of ways in which analysis of problems high dimensional spaces …
Year:
2017
Contributor:
Loper, Jackson Hoy (creator)
Geman, Stuart (Advisor)
Ramanan, Kavita (Reader)
Harrison, Matthew (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Poisson processes
Biometry
Brownian motion processes
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Items (1-20) out of 25 results