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 52564 for “"models"”.
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Loglinear Models as Item Response Models
… item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent traits. In a similar fashion, log-linear models …
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Language Models as Opinion Models: Techniques and Applications
… and shape public opinion, while large language models (LLMs) give us new tools to observe and predict those shifts. This dissertation links the new affordances of social media with the predictive power of LLMs to explain -- and forecast -- opinion change. We first quantify the dynamics of news …
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Population models
… paper will explore short-term infectious disease models as they relate to particular epidemics throughout history, including the Iowa Mumps outbreak of 1966 and the Bubonic Plaque. The thesis will then work to make sense of the rise and fall patterns in the data through analysis of the models. …
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Planning models
Thesis: M.S., Massachusetts Institute of Technology, Sloan School of Management, 1982
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Economic models
Thesis (M.S.)--Massachusetts Institute of Technology, School of Industrial Management, 1958.
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Automatically generating computer simulation models from business process models.
… modelling tool, which is process orientated and models current business processes. Whilst Simulation is a dynamic modelling tool, which is system orientated, testing current and future operations. Although the modelling tools are different the process definition within both methods contain the …
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Discreet dynamical population models : higher dimensional pioneer-climax models
There are many population models in the literature for both continuous and discrete systems. This investigation begins with a general discrete model that subsumes almost all of the discrete population models currently in use. Some results related to the existence of fixed points are proved. Before …
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Dark Matter Models in Non-Supersymmetric SO(10) Unification Models
… thesis studies systematically non-supersymmetric models that contain dark matter candidates. The stability of the dark matter is guaranteed by a remnant Z 2 symmetry embedded naturally in SO(10). We build models base on various dark matter production mechanism, including the non-equilibrium …
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Lattice models of glasses and Potts models for community detection
… theoretical basis from existing lattice models of glasses based on kinetic facilitation. We then proceed to perform a more detailed comparison between lattice glass models, including t154 and a model by Ciamarra et. al. (Phys. Rev. E 68 066111 (2003)), with traditional facilitated models. …
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Multinomial Link Models
We propose a new family of regression models for analyzing categorical responses, called multinomial link models. It consists of four classes, namely, mixed-link models that generalize existing multinomial logistic models and their extensions, two-group models that can incorporate the observations …
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Rough volatility models
So-called rough stochastic volatility models constitute the latest advancement in option price modeling. In contrast to popular bivariate diffusion models such as Heston, here the driving noise of volatility is modeled by a fractional Brownian motion (fBM) with scaling in the rough regime of Hurst …
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Semiparametric mixture models
… parts that are related to semiparametric mixture models. In Part I, we construct the minimum profile Hellinger distance (MPHD) estimator for a class of semiparametric mixture models where one component has known distribution with possibly unknown parameters while the other component density and …
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Thermostated Kac models
We consider a model of N particles interacting through a Kac-style collision process, with m particles among them interacting, in addition, with a thermostat. When m = N, we show exponential approach to the equilibrium canonical distribution in terms of the L2 norm, in relative entropy, and in the …
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Parsing genetic models
… computer vision applications for parsing genetic models. Genetic models are a visual illustration often used in the biological sciences literature. These are used to demonstrate how a discovery fits into what is already known about a biological system. A system that determines the interactions …
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Structuring process models
… employing scientific methods. Usually, process models are formalized as directed graphs, with nodes representing tasks and decisions, and directed arcs describing temporal constraints between the nodes. Common process definition languages, such as Business Process Model and Notation (BPMN) and …
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Software Reliability Models
… model. Currently existing popular NHPP process models like Goel-Okumoto (G-O) and Yamada <em>et al</em> models suffer from the drawback that the probability density function of the inter-failure times is an improper density function. This is because the event no failure in (0, oo] is allowed in …
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Making Models Work
<p>Scientific models are used to investigate reality. Here “model” refers to a representation which is created by an agent for a particular inferential purpose. These purposes include but are not limited to explanation, prediction, exploration, classification, and measurement. Through modeling, …
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