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-
- Description:
- In this dissertation, we aim to develop a theoretical understanding of foundation models and reinforcement learning. We delve into a comprehensive analysis of specific aspects within these domains. The focal points of our study are as follows: • Generative Adversarial Imitation Learning (GAIL) with Neural Networks: GAIL is poised to...
- Keyword:
- Reinforcement Leanring, In-Context Learning, Imitation Leanring, and Transformer
- Subject:
- Statistics and Operations research
- Creator:
- Zhang, Yufeng
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_1013414 and http://dissertations.umi.com/northwestern:16740
-
- Description:
- Machine learning and deep learning have been proven successful across various scientific fields, such as computer vision, natural language processing, and recommendation systems. As models become more complex, with more parameters and intricate architectures, they can achieve higher prediction accuracy when trained on larger datasets. However, despite the great prediction...
- Keyword:
- Neural Network, Interpretable Machine Learning, and Function Visualization
- Subject:
- Statistics and Computational chemistry
- Creator:
- Zhang, Shengtong
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_995408 and http://dissertations.umi.com/northwestern:16632
-
- Description:
- In the Maximum-a-Posteriori (MAP) Inference problem, for any given probability distribution, the goal is to find the point in the support of that distribution with the highest probability. Potts models and Determinantal Point Processes (DPPs) are probabilistic models that were introduced in the context of statistical physics several decades ago....
- Keyword:
- MAP Inference, Potts Model, Determinantal Point Process, Linear Programming, Streaming Algorithms, and Online Algorithms
- Subject:
- Statistics and Computer science
- Creator:
- Talla, Aravind Reddy
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16561 and etdadmin_upload_985524
-
Risk Prediction with Longitudinal Gene Expression Data Using Statistical and Machine Learning Method
- Description:
- With the advancement of high-throughput sequencing technology, it has become much easier to extract gene expression data and to discover gene-disease associations more efficiently. Longitudinal gene expression data offer more insight into expression patterns for distinct patient groups compared to cross-sectional data. For instance, patients diagnosed with subclinical acute rejections...
- Keyword:
- mixed effect estimation, Empirical Bayes, two-stage modeling, and dynamic predictions
- Subject:
- Statistics
- Creator:
- Lyu, Jiahui
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_982900 and http://dissertations.umi.com/northwestern:16506
-
- Description:
- Deduplication, also referred to as "entity resolution", is a common and crucial pre-processing step in the construction of social networks. Traditional deduplication methods compare the attributes (such as name and age) of potential matching pairs to estimate a match probability for a pair. Recently research has used clustering techniques for...
- Keyword:
- egocentric, networks, entity resolution, and record linkage
- Subject:
- Information science, Statistics, and Public health
- Creator:
- Smith, Abigail Leeza
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16419 and etdadmin_upload_962549
-
- Description:
- Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while only...
- Subject:
- Statistics
- Creator:
- Hou, Zhipeng
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16478 and etdadmin_upload_978985
-
- Description:
- Deduplication, also referred to as "entity resolution", is a common and crucial pre-processing step in the construction of social networks. Traditional deduplication methods compare the attributes (such as name and age) of potential matching pairs to estimate a match probability for a pair. Recently research has used clustering techniques for...
- Keyword:
- egocentric, networks, entity resolution, and record linkage
- Subject:
- Information science, Statistics, and Public health
- Creator:
- Smith, Abigail Leeza
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 03/24/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16419 and etdadmin_upload_962549
-
- Description:
- Seasonal malaria chemoprevention (SMC) was first recommended by the World Health Organization (WHO) in 2012 to prevent uncomplicated malaria in children and began implementation in Burkina Faso in 2014 under programmatic campaigns. Systematic assessment of the impact of national SMC campaigns requires data with weekly or monthly temporal resolution over...
- Keyword:
- Spatio-temporal modeling, Integrated Nested Laplacian Approximation, Malaria, Time-series analysis, Difference-in-differences, and Seasonal Malaria Chemoprevention
- Subject:
- Epidemiology and Statistics
- Creator:
- Rodriguez, Sebastian
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16220 and etdadmin_upload_927176
-
- Description:
- This thesis develops novel methods for generating space-filling designs inside a designspace and subsampling from a data set. It incorporates materials from two papers by the author: Shang and Apley 2021; Shang, Apley, and Mehrotra 2022a. Chapter 1 discusses space-filling designs of computer experiments, which is publishedas Shang and Apley...
- Keyword:
- fully-sequential, diversity subsampling, design of computer experiments, space-filling, and custom subsampling
- Subject:
- Industrial engineering and Statistics
- Creator:
- Shang, Boyang
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_919274 and http://dissertations.umi.com/northwestern:16168
-
- 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:
- With the rapid growth of demand for data center services, the energy and water use of data centers has become a critical concern in the contexts of energy use, climate change, and freshwater conservation. Therefore, understanding, quantifying, and optimizing the use of energy and water resources in data centers has...
- Keyword:
- Data Center, Data-Driven Modeling, Thermodynamics, Information Technology, Energy-Water Nexus, and Energy and Sustainability
- Subject:
- Statistics, Sustainability, and Energy
- Creator:
- Lei, Nuoa
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15929 and etdadmin_upload_879204
-
- Description:
- Sequential change-point detection for time series enables us to sequentially check the hypothesisthat the model still holds as more and more data are observed. It’s widely used in data monitoring in practice. In this work, we propose two models: Binomial AR(1) model and Generalized Beta AR(p) model, for modeling binomial...
- Keyword:
- compositional time series, time series of counts, ergodicity, strong mixing processes, and sequential change-point detection
- Subject:
- Statistics
- Creator:
- Liu, Yajun
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16079 and etdadmin_upload_902877
-
- Description:
- This dissertation contributes to the theory of segregation and methodologies to measure it. The first two chapters focus on the traditional problem of quantifying segregation in traditional survey data through segregation indices. Segregation indices describe the segregation of an environment with one number – usually from 0 to 1. The...
- Keyword:
- Word Embedding, Statistical Inference, Segregation, and Segregation Index
- Subject:
- Sociology and Statistics
- Creator:
- Nanni, Antonio
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_901361 and http://dissertations.umi.com/northwestern:16050
-
- Description:
- In recent years, the social sciences have been ensnared in a crisis in which many research findings cannot be replicated (Ioannidis, 2005; Open Science Collaboration, 2015; Camerer et al., 2016; Makel & Plucker, 2014). This crisis has been attributed to a variety of problems including lack of transparency about research...
- Keyword:
- education, treatment effect heterogeneity, response surface, and experimental design
- Subject:
- Statistics, Education, and Social research
- Creator:
- Peko-Spicer, Sarah
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_853504 and http://dissertations.umi.com/northwestern:15806
-
- Description:
- Language models are the foundation of many natural language tasks such as machine translation, speech recognition, and dialogue systems. Modeling the probability distributions of text accurately helps capture the structures of language and extract valuable information contained in various corpora. In recent years, many advanced models have achieved state-of-the-art performance...
- Subject:
- Artificial intelligence, Statistics, and Computer science
- Creator:
- Ju, Wei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_863369 and http://dissertations.umi.com/northwestern:15867
-
- Description:
- The logistics of policy implementation can lead to a delay from when the actual change in behavior occurs, leading to a shift in a time series. Using change point analysis allows for the data to determine where a change in mean, or other parameters, occurred. But when policy is implemented...
- Subject:
- Statistics
- Creator:
- Whalen, Mena
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15802 and etdadmin_upload_851996
-
- Description:
- Materials science has been central to human advancement since time immemorial. There has always been curiosity around studying the processes required to extract materials, examine their structure, and ultimately tailor their properties to meet human needs. Over the last few centuries, the ability to tailor material properties was driven by...
- Keyword:
- Gaussian Process, Mixed Variable Machine Learning, Data Centric Design, Multicriteria Optimization, and Microstructure
- Subject:
- Materials Science, Statistics, and Design
- Creator:
- Iyer, Akshay
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_851800 and http://dissertations.umi.com/northwestern:15801
-
- Description:
- This dissertation is a collection of three papers on synthesizing and translating statistical evidence in education research. Chapter 1 serves as an introduction and executive summary, and Chapters 2 - 4 contain the three substantive papers respectively. Chapter 2 presents methods for pooling sample variances across studies to improve properties...
- Keyword:
- meta-analysis, clearinghouse data, translation science, data visualization, evidence synthesis, and statistical cognition
- Subject:
- Statistics and Education
- Creator:
- Fitzgerald, Kaitlyn Grace
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_838471 and http://dissertations.umi.com/northwestern:15676
-
- Description:
- This dissertation consists of three papers on methods for meta-analysis with few studies. These papers are concerned with proper inference from meta-analysis models that combine data from a small number of studies using fixed and random-effects models. Chapter 1 provides an introduction to meta-analysis, the motivation for this work and...
- Subject:
- Statistics
- Creator:
- Zejnullahi, Rrita
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_845508 and http://dissertations.umi.com/northwestern:15774
-
Comparative analysis of feature selection and classification methods for epigenetic methylation data
- Description:
- Epigenetics, the study of heritable changes in organisms not caused by mutations to DNA,holds tremendous promise for future medical applications. Although still in its infancy, feature selection in statistics plays an important role in correlating epigenetic changes with diseases and various health issues. Feature selection may also be used in...
- Subject:
- Statistics
- Creator:
- Kleyn, Aaron
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_797839 and http://dissertations.umi.com/northwestern:15488
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