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 13 of 13 for “"Applied probability"”.
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Nonlinear Methods in the Study of Singular Partial Differential Equations
… models from such areas as Riemannian geometry, applied probability, mathematical physics and biology. The purpose of this thesis is to develop analytical methods to investigate a large class of nonlinear elliptic PDEs underlying models from physical and biological sciences. These methods advance …
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The Traveling Salesman Problem and orienteering for kinodynamic vehicles
… of Computer Science, Operations Research, and Applied Mathematics, in which an agent wants to visit a set of target points with the shortest path possible. This problem is of the highest interest both theoretically in practice. When the agent is a vehicle whose trajectory must satisfy a set of …
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Optimal Pricing for a Service Facility with Congestion Penalties
We consider the optimal pricing problem in a service facility in order to maximize its long-run average profit per unit time. We model the facility as a queueing process that may have finite or infinite capacity. Customers are admitted into the system if it is not full and if they are willing to …
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Principios de prima y medidas de desigualdad basados en mixturas de estadísticos ordenados
In applied probability and, more specifically, in decision-making processes, a probability distribution is often transformed before taking expectations to reflect the attitude or perception of decision-makers. In actuarial theory, for example, risk-adjusted premiums are often defined via …
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Exploring Probability Measures with Markov Processes
In many domains where mathematical modelling is applied, a deterministic description of the system at hand is insufficient, and so it is useful to model systems as being in some way stochastic. This is often achieved by modeling the state of the system as being drawn from a probability measure, …
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Asymptotic Analysis of Some Stochastic Models from Population Dynamics and Population Genetics
Near the beginning of the last century, R. A. Fisher and Sewall Wright devised an elegant, mathematically tractable model of gene reproduction and replacement that laid the foundation for contemporary population genetics. The Wright-Fisher model and its extensions have given biologists powerful …
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Optimization problems in networks and queues
… dissertation presents a collection of results in applied probability, stochastic processes, and optimization, unified by their mathematical techniques. Each chapter studies a distinct question motivated by systems that evolve randomly over time and are subject to structural or resource …
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Queueing Models for Large Scale Call Centers
In the first half of this thesis, we extend the results of Halfin and Whitt to generally distributed service times. This is accomplished by first writing the system equations for the G/GI/N queue in a manner similar to the system equations for G/GI/Infinity queue. We next identify a key …
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Some theoretical problems in blockchain security and efficiency
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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LEARNING AND OVERLAPS IN QUEUES
… most important formula’s in queueing theory and applied probability. In this thesis, we leverage stochastic simulation and current machine learn- ing methods to learn the Lindley recursion directly from waiting time data of the G/G/1 queue. To this end, we use methods such as Gaussian Processes, …
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Diversity and Expertise in Representative Governance
… one of 𝑛 voters votes correctly with a fixed probability, known as their competence. Assuming that the best experts, i.e., those with the highest competence, can be identified to form an epistemic congress, this chapter surprisingly shows that the optimal congress size should be linear in the …
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Lossless Coding of Markov Random Fields with Complex Cliques
The topic of Markov Random Fields (MRFs) has been well studied in the past, and has found practical use in various image processing, and machine learning applications. Where coding is concerned, MRF specific schemes have been largely unexplored. In this thesis, an overview is given of recent …
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Nearly reducible finite Markov chains: theory and algorithms
… numerical challenges. The methodology is applied to example models that are relevant to current problems in chemical physics, including Markov chains representing a protein folding transition, and a configurational transition in an atomic cluster. Relevant classical theory of finite Markov …