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 15 of 15 for “"threshold models"”.
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On threshold models over finite networks
… networks based on a deterministic binary linear threshold model. Our starting point is a networked coordination game where each agent's payoff is the sum of the payoffs coming from pairwise interaction with each of the neighbors. We first establish that the best response dynamics in this …
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Modeling and Forecasting Ghana's Inflation Rate Under Threshold Models
… modeling inflation rate in Ghana using linear models such as Autoregressive Integrated Moving Average (ARIMA), Autoregressive Moving Average (ARMA) and Moving Average (MA). Empirical research however, has shown that financial data, such as inflation rate, does not follow linear patterns. This …
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Statistical Methods For Biomarker Threshold Models in Clinical Trials
… be viewed as a mixture of logistic regression models with unknown cut-point for which the regularity conditions of ordinary likelihood methods are not satisfied. We first approximate the indicator function defining biomarker subgroups by a smooth continuous function. To overcome irregularities, …
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Spatially varying threshold models for the automated segmentation of radiodense tissue in digitized mammograms
… of the X-ray. A spatially varying Neyman-Pearson threshold is used to calculate the percentage of radiodense tissue and compensate for the effects of tissue compression that occurs during a mammography procedure. Results demonstrating the efficacy of the technique are demonstrated by exercising …
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Generalizations of Threshold Graph Dynamical Systems
… dynamical systems. For social applications, threshold models are used extensively for agent state transition rules (i.e., for vertex functions). In its simplest form, each agent can be in one of two states (state 0 (1) means that an agent does not (does) possess a contagion), and an agent …
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Markov-Airy method for electromagnetic fields in layered structures and microsphere-stabilized planar resonators
… observed to either lower or raise the lasing threshold. Models of the cavity were developed and agree with observed data. By self-assembling spheres, a laser array is demonstrated.
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Statistical analysis of bathing water quality in Scotland
… considered and the idea of using extreme value models became the basis of the remaining chapters. Chapter 4 considers the use of extreme value theory, in particular block maxima, k-th largest order statistic and threshold models to identify suitable return levels which could be applied as …
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Bayesian Analysis of Latent Threshold Dynamic Models
… new and broadly applicable idea based on latent threshold models. The latent threshold approach is a model-based framework for inducing data-driven shrinkage of elements of parameter processes, collapsing them fully to zero when redundant or irrelevant while allowing for time-varying non-zero …
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Models of the auditory threshold
… procedure in conjunction with an automatic threshold seeking method is selected for detailed study. Sequential strategies and decision rules for the location of specific points on a psychometric function are introduced as the basis of the automatic threshold seeking method. To aid in the …
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Studies on Estimation of Genetic Variances Under Nonadditive Gene Action
… for normal data, and an extension thereof for threshold models. Asymptotic theory indicated that in a genetic model with additive, dominance and additive x additive effects, the most difficult parameter to estimate was the variance "due to" epistasis, and that several thousand families are …
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An examination of factors influencing producer adoption of HT canola
This thesis develops a conceptual framework to determine the probability of adopting HT canola when producers are assumed heterogeneous. The model is based on the framework developed by Fulton and Keyowski (1999), but is modified from a deterministic model to a probabilistic model. The study also …
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NODE INFLUENCE IN NETWORK-BASED DISCRETE DYNAMICAL SYSTEMS
… simulations of the system. Finally, I define a thresholded representation of the dynamics (a generalized threshold network) to study different structural representations of the node update functions. I use these different representations and the IBMFA to calculate node influence and find that …
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Minimum-error, energy-constrained source coding by sensory neurons
… and to time spikes when the error crosses a threshold value. In the limit of large signals, the threshold level is a constant, but in general it is signal dependent. This coding model, called the neural source coder, implies neurons should be able to track reconstruction error internally, …
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From individual behavior to collective structure
… Following a brief review of current ideas and models of self-organization and response thresholds in insect colonies, I have presented the first detailed investigation of interindividual variability in the responsiveness of all workers involved in a collective behavior. My study has revealed …