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 “"Sequential methods"”.
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SEQUENTIAL METHODS FOR NON-PARAMETRIC HYPOTHESIS TESTING
… task. Therefore, it is important to devise methods that are model-independent, robust, provide sufficient performance guarantees for the task at hand and, at the same time, are simple to implement. The goal of this dissertation is to develop such algorithms for two-sided sequential binary …
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Summary statistics and sequential methods for approximate Bayesian computation
… information and are appropriate for general ABC methods. An alternative sequential ABC approach is proposed in which simulated and observed data are compared for each data set and combined to give overall results. Several algorithms are proposed and their theoretical properties studied, showing …
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Sequential methodology and applications in sports rating
Sequential methods aim to update beliefs about a set of parameters given new blocks of data that arise in sequence. Early research in this area was motivated by the case where the blocks of data arise in time and as a result of observing an underlying dynamical system, but an important modern …
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Parallel methods for the numerical solution of ordinary differential equations
… considerations in deriving good numerical o.d.e. methods. However, existing parallel methods have poor stability properties in that their stability regions are smaller than those of good sequential methods of the same order. In this thesis we present a precise understanding of how stability limits …
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Evaluating D/deaf learners’ experiences of notetaking support in higher education utilising a transformative framework
… were the experts on the subject. Two sequential methods were utilised, firstly an electronic forum (n=7) which then contributed to the second phase, an electronic questionnaire (n=30). The findings showed that whilst the majority of the co-researchers’ experiences were positive, there …
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Some statistical problems in sequential meta-analysis
… (Kulinskaya and Koricheva, 2010). Standard sequential methods including cumulative meta-analysis, sequential meta-analysis, the use of quality control charts and penalised z-test have been proposed for monitoring the trends in meta-analysis. But these methods are only effective when …
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Composite system reliability evaluation using sequential Monte Carlo simulation
Monte Carlo simulation methods can be effectively used to assess the adequacy of composite power system networks. The sequential simulation approach is the most fundamental technique available and can be used to provide a wide range of indices. It can also be used to provide estimates which can …
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Parallel Mining and Analysis of Triangles and Communities in Big Networks
… memory of a single machine, and the existing sequential methods might take a prohibitively large runtime. This motivates the need for scalable parallel algorithms for mining and analysis. We design MPI-based distributed-memory parallel algorithms for counting triangles and detecting …
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An inverse modeling approach to investigate deep ocean ventilation from radiocarbon records
… to the paleo-Δ14C data using the following sequential methods of optimal estimation theory: the linear Kalman filter, the Extended Kalman Filter, the Rauch-Tung-Striebel (RTS) smoother, and a linearized RTS smoother. We find that 62–76% (depending on the assumptions made about air-sea 14CO2 …
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Pricing And Assortment Problems Under Correlated Product Evaluations
… must be taken into consideration. We provide sequential methods for obtaining maximizers of the revenue function and provide structural properties pertaining to the markups on optimal prices. The second part of the thesis focuses on pricing problems in which the prices of offered products are …
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Methods for Comparing Two Means with Application in Adaptive Clinical Trials
… to researcher. Also, in recent years, the use of sequential and adaptive design methods in clinical research and development based on accrued data has become very popular due to its flexibility and efficiency. In this thesis, we derive the Behrens-Fisher distribution, and use the distributional …
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Simulation-based Bayesian machine learning methods for Cosmology and beyond
… a newly developed algorithm PolySwyft. This sequential simulation- based nested sampler is motivated by the limitations of likelihood-based Bayesian inference in sky-averaged 21-cm Cosmology. Moreover, PolySwyft merges nested sampling and neural ratio estimation into a general Bayesian …