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 335 for “"Statistics and Probability"”.
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Identification of genomic factors using family-based association studies
… association studies become increasingly popular and important for detecting genetic associations of complex traits. However, it is well known that spurious associations could arise from statistical analysis without proper consideration of genetic relatedness of samples. Many methods have been …
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The Tessera D&R computational environment: Designed experiments for R-Hadoop performance and Bitcoin analysis
… of large complex data that enables feasible and practical analysis of large complex data. The analyst selects a division method to divide the data into subsets, applies an analytic method of the analysis to each subset independently with no communication among subsets, selects a recombination …
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Divide and recombine for large complex data: The subset likelihood modeling approach to recombination
<p>Divide and recombine (D&R) is a statistical framework for the analysis of large complex data. The data are divided into subsets. Numeric and visualization methods, which collectively are analytic methods, are applied to each subset. For each analytic method, the outputs of the application of the …
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Divide and recombine: Autoregressive models and STL+
<p>In this thesis multiple methods are proposed and applied to the Akamai CIDR time series data. The Akamai network is one of the world's largest distributed-computing platforms, with more than 250,000 servers in more than 80 countries. It is responsible for 15-20 percent of all web traffic. We …
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Spatial marked point processes: Models and inferences
… marked point process describes the locations of randomly distributed events in a region, with a mark attached to each observed point. Nowadays, the availability of spatiotemporal data is increasing and many spatiotemporal models are studied with applications in a wide range of disciplines. Spatial …
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MOVING BLACK-BOXING TOWARDS STATISTICS: CASE STUDIES FROM AMERICAN FOOTBALL
… decade, the explosion of publicly available data and off-the-shelf machine learning (ML) tools has popularized a common data science workflow: (1) obtain a dataset, (2) fit a black-box ML model, and (3) use its predictions. This workflow has become even more streamlined with LLMs—just upload your …
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ULTRA SCALABLE METHODS FOR DIFFERENTIAL TESTING OF SPATIAL-OMIC DATA
… our ability to study tissue organization and function by preserving the spatial context of molecular measurements. Unlike traditional single-cell assays, which dissociate cells from their native environments, spatial methods retain information about each cell’s physical location and …
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Statistical Gems in AI: Toward Reliable and Efficient Intelligence
… (LLMs) has reshaped how humans create, reason, and communicate, yet their reliability and efficiency remain imperfectly understood. This dissertation develops statistical tools to evaluate and enhance these systems. We demonstrate how hypothesis testing, coupling methods, and conformal inference …
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Novel statistical modeling of sleep patterns in Drosophila melanogaster
… been shown to impact different aspects of health and cognitive performance. The fruit fly, <em>Drosophila melanogaster</em>, can be used as a model organism to investigate sleep patterns over an entire lifespan. The sleep-wake status can be recorded every minute over the life of individual flies, …
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Essays on unit root testing in time series
… has a component that can be well-described by a random walk. More specifically, when the time series can be modeled using an autoregressive moving average (ARMA) process, such tests aim to determine if the autoregressive (AR) polynomial has one or more unit roots. The effect of economic shocks do …
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Examining the Credibility of Story-Based Causal Methodologies
… causal methodologies to evaluation stakeholders; and 2) from the perspective of evaluators, how do contextual factors influence whether story-based causal methodologies are perceived as credible by evaluation stakeholders? A case study was conducted to examine the cases of four evaluators who had …
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The Efficacy Of Select Nonparametric And Distribution-Free Research Methods: Examining The Case Of Concomitant Heteroscedasticity And Effect Of Treatment
… Compared to parametric procedures, nonparametric and distribution-free research methods make minimal assumptions about underlying population data. They are robust to departures from parametric assumptions, and hold distinct power advantages under the most realistic conditions found in the applied …
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The design and statistical analysis of single-cell RNA-sequencing experiments
<p>Next-generation DNA- and RNA-sequencing (RNA-seq) technologies have expanded rapidly in both throughput and accuracy within the last decade. The momentum continues as emerging techniques become increasingly capable of profiling molecular content at the level of individual cells. One goal of this …
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