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 54 for “"Hierarchical Modeling"”.
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Bayesian Hierarchical Modeling for Longitudinal Frequency Data
… treatment effectiveness. We propose a Bayesian hierarchical model to describe not only frequency measurements, but also the parameters that govern an individual profile.
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Hierarchical modeling for reliability analysis using Markov models
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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New Approaches to Hierarchical Modeling — Frameworks, Algorithms, and Applications
Obtaining hierarchical organizations of knowledge is important in many domains. To create such hierarchies, improved techniques for subdividing entities hierarchically ac-cording to similarities and differences are needed. New techniques for organizing docu-ments in hierarchies, for automatic …
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Advances in Bayesian Hierarchical Modeling with Tree-based Methods
… outputs is a major goal of modern statistical modeling. A family of models that are especially suitable for this task is the P\'olya tree type models. Following a divide-and-conquer strategy, these tree-based methods transform the original task into a series of tasks that are smaller in size …
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Hierarchical modeling of systemic risk via mean field games
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Hierarchical modeling of structure and mechanics of cement hydrate
… at the other end. This thesis develops a new modeling toolbox that enables unraveling the interplay between structure, composition, morphology and mechanical properties of this "liquid stone" gel. First, using ab-initio calculations we characterize the structural and mechanical properties of …
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Identification of alternative exon usage in cancer survival using hierarchical modeling
… validation data set of 78 patients. A hierarchical model allows the consideration of covariation between exons within a gene and of the effect of the epidemiological characteristics of the patients was developed to identify associations between exon expression and patient survival. The …
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Bayesian Linear Modeling in High Dimensions: Advances in Hierarchical Modeling, Inference, and Evaluation
… problems like this, the languages of linear modeling and Bayesian statistics appeal because they provide interpretability, coherent uncertainty, and the capacity for information sharing across related datasets. But at the same time, high dimensionality introduces several challenges not solved …
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Hierarchical modeling of laminated composite plates using variable kinematic finite elements and mesh superposition
A hierarchical, 2-D, displacement-based, global/local finite element model is developed to permit an accurate, efficient analysis of localized 3-D effects in laminated composite plates. The model is developed using hierarchical, multiple assumed displacement fields at two different levels: (1) at …
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Flexible manufacturing system software development using simulation
This paper presents a hierarchical modeling method that can be used to simulate a Flexible Manufacturing System (FMS) at all levels of detail. The method was developed specifically to aid the software development needed for the hierarchy of computers that are present in an FMS. The method was …
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Investigation Into Free Flight Impact On Air Traffic Control
… powerful features of optimization, graphics, and hierarchical modeling, the MATLAB toolboxes proved to be effective in the modeling process involved in this research.
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Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games
… overall ability. Through the use of Bayesian hierarchical modeling and NBA box-score performance categories, this project will determine how each position needs to perform in order for their team to be successful.
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Development of a Computer Based Airspace Sector Occupancy Model
… the powerful features of graphics and hierarchical modeling inherent in Matlab, to design an effective tool for analyzing air traffic scenarios and their respective sector occupancies.
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Integrating Deep Web Data Sources
… several key contributions. First, we propose a hierarchical modeling of interfaces and develop a novel spatial clustering algorithm to extract the hierarchical schema of query interface. Second, we develop a novel interactive clustering-based matching algorithm to accurately match a large number …
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Detection, Occupancy, Abundance, and Mercury Accumulation of the Alligator Snapping Turtle (Macrochelys temminckii) in Texas
… the southwestern periphery of its distribution. Hierarchical modeling suggested the distribution of the species is more affected by watershed-scale land-cover than local habitat, and provided a baseline estimate of average species abundance across its range in eastern Texas. Abundance and …
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Computability, inference and modeling in probabilistic programming
… and noise, both of which are common in Bayesian hierarchical modeling. This theoretical work bears on the development of probabilistic programming languages (which enable the specification of complex probabilistic models) and their implementations (which can be used to perform Bayesian …
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Hierarchical Bayesian Analysis of Peruvian Tree Growth Rates
… the use of Bayesian statistical methods and hierarchical modeling in order to analyze massive data sets of Peruvian tree growth data. The study is important in finding connections between different parameters (such as the tree's classification or elevation) and rate at which the tree grows. …
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Analysis of airport APM systems using a computer simulation model
… powerful features of animation, graphics, and hierarchical modeling, the EXTEND libraries provide the capability to easily model alternative service concepts such as shuttles, loops, and single or double routes.
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Properties of the population of field galaxies at medium redshift
… the CADIS data set to simulations of hierarchical modeling, the simulated data set becomes redder at low redshift, as well. We analyzed simulations of chemically consistent spectral evolution with our photometric data and determined the time passed since the last major star formation …
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The Expanding Definition of Crime and Its Effect on the Individual: A Multilevel Modeling Analysis
… of the variation in incarceration rates.</p> <p>Hierarchical modeling was used to test hypotheses about the influence of the PSI, the PPI, and other state-level contextual variables on sentence length. At the individual level, the model suggests the race of the inmate has some, though …
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