Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 42 for “"Imputing"”.
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Imputing metabolomics with graph denoising autoencoders
The student, Kowshika Sarker, accepted the attached license on 2024-12-06 at 19:10.
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Imputing Genotypes Using Regularized Generalized Linear Regression Models
As genomic sequencing technologies continue to advance, researchers are furthering their understanding of the relationships between genetic variants and expressed traits (Hirschhorn and Daly, 2005). However, missing data can significantly limit the power of a genetic study. Here, the use of a …
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Imputing age at death for the deceased using household relationships
Immeasurable effort has been dedicated to estimating mortality using direct and indirect demographic techniques. However, literature available on methods applied to replacing missing values for non-responses in surveys or censuses so that these methods are implemented using sound data is sparse. …
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A POMDP Approach for Imputing Rewards to Time-Dependent Breast Cancer Screening Policies.
North Carolina State University Theses Industrial Engineering.
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Estimating End-User Throughput Using Service Provider Cell Traces Via Gradient Boosting
… In this thesis, we focus on accurately imputing missing values in the collected traces, and consequently, we build a Regularized Gradient Boosting model to predict the user's throughput using traces that are exclusively collected from the service provider's resources. Our approach shows …
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A deep learning approach to real-time short-term traffic speed prediction with spatial-temporal features
… the effectiveness of a multi-view approach to imputing the missing values so that various prediction models can apply. Experimental results showed that the performance of the traffic speed prediction model improved significantly after imputing the missing values with a multi-view approach, where …
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Mapping genes underlying ethnic differences in tuberculosis risk by linkage disequilibrium in the South African coloured population of the Western Cape
… ancestral panel to infer ancestry and for imputing missing genotypes to identify possible genetic variants causing susceptibility to disease. This thesis addresses some of these challenges. We first developed PROXYANC, an approach to select the best proxy ancestral populations for admixed …
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Missing values imputation and image registration for genetics applications
… with missing values. We design an algorithm for imputing missing values using optimal recovery and derive an error bound for non-negative matrix factorization of the imputed data. Second, we consider missing values as erasure channels and show examples of using Fano's inequality to find lower …
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Artificial intelligence-assisted data analysis with BayesDB
… (i) modeling patterns of missing data, (ii) imputing missing values in datasets, and (iii) characterizing the error behavior of predictive models. Experiments show that CrossCat, the default model discovery mechanism used by BayesDB, can address all three problems effectively. Examples are …
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Imputation of Microsatellite Markers With Tag SNPs
… genomic regions. We focus in particular on imputing a VNTR polymorphism, 5-HTTLPR, in the promoter region of the serotonin transporter gene in a small sample of individuals from an ongoing neuroimaging genetics study, a portion of whom have both manual 5-HTTLPR genotypes and genome wide SNP …
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Three essays in public finance
… are substantial. Finally, chapter 3, titled “Imputing Missing Tax Variables for TAXSIM: Nonlinearity Matters”, is a technical paper on improving income tax rate estimates using NBER TAXSIM. Many researchers estimate household income taxes for using the limited house- hold characteristics of …
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To Tolerate or To Impute Missing Values in V2X Communications Data?
… This thesis proposes three novel methods for imputing and tolerating missing data. The first two are novel imputation methods that are based on cooperative clustering and collaborative clustering. The latter is a missing-tolerant method that is an ensemble learning based on the random subspace …
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The False Intent-Purpose Distinction In Textualism
… between such purpose and an intent they are imputing to the enacting legislature. The paper concludes that the intent-purpose distinction is a false one that makes for disjointed interpretations and obscures the real debate over legislative interpretation: how wide to set the interpretive …
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Using the Fraction of Missing Information (FMI) in Selecting Auxiliary Variables to Impute Missingness in Confirmatory Factor Analysis (CFA)
… (FMI) to select auxiliary variables in imputing missing data in confirmatory factor analysis (CFA). This was done by conducting two studies (a simulation study and an empirical study). A Monte Carlo simulation technique was used to compare the performance and the effect of the …
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Methods for handling missing data due to a limit of detection in longitudinal lognormal data
… of the longitudinal data. Multiple methods of imputing a value for the missing data are compared. Each method is analyzed by fitting three different models using SAS. To determine which method is most accurately explaining the data, a simulation study was conducted.
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Missing data imputation in a clinical registry with deep generative models
… and can lead to series problems. Traditional imputing techniques to cope with missing data include simple mean or zero imputation and multivariate imputation that needs a more complex modeling. With the explosion of data and the advancement in the machine learning techniques, more advanced …
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Building nature conservation : masonry from alkali-activated industrial waste & the economics of ecosystem services
… ecological deterioration can be accounted for by imputing values for the unmarketed values of ecosystem services--benefits to humans derived from working ecosystems--and captured in the material's price. This thesis looks at the life cycle impact of the novel alkali-activated masonry and …
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Taking Organizations Seriously: Responsible Agency, Organizations and the Criminal Law
… that break with the conventional approach of imputing individual conduct to an organization and instead analyze culpable conduct and intent in a way that reflects the distinct and independent capacity of organizations to pursue their interests or goals collaboratively. In 2004, Canada enacted …
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Multi-Species Models of Time-Varying Catchability in the U.S. Gulf of Mexico
… and multi-species estimation procedures. Imputing estimates from similar species provided accurate estimates of catchability parameters. Multi-species estimates also improved catchability estimation when compared with the current assumptions of density independence and stationarity. This …
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Handling missing data in analyses of the UK women's cohort study
… only complete cases produces bias (lower means). Imputing an extreme value zero as is customary at present, underestimates the actual alcohol consumption, it also incorrectly increases the apparent precision of estimation (i. e. inappropriately small standard errors). A published study, Pollard et …
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