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 “"Sampling distributions"”.
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Sampling Methods for Fast and Versatile GNN Training
… training with sampled neighborhoods. Numerous sampling algorithms have emerged, some tailored for specific GNN applications. In this thesis, I explore ways to improve the efficiency and expressivity of existing and emerging sampling schemes. First, I explore system solutions to facilitate the …
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Learning Diffusion Models to Enable Efficient Sampling for Task and Motion Planning on a Panda Robot
… refined into low-level continuous transitions by sampling controller parameters associated with each action. Efficiently sampling these parameters remains a significant challenge, as exhaustive searches often become computational bottlenecks, especially for tasks requiring complex or multimodal …
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Quantifying uncertainty in reliability block diagrams
… analysis accumulates these data into posterior distributions summarizing all available performance knowledge about driving components. Sampling-based uncertainty propagation methods then transform component-level posterior distributions into system-level parent and sampling distributions. …
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Active evaluation of predictive models
… of the data according to an instrumental sampling distribution and queries their labels. We derive sampling distributions that minimize estimation error with respect to different performance measures such as error rate, mean squared error, and F-measures. An analysis of the distribution …
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Constraining North Atlantic circulation with transient tracer observations
… of circulation properties from transient state distributions are impacted by uncertainties in the time-varying boundary conditions and sparse data coverage. Comparison of CFC, tritium, temperature and salinity (T-S) observations with model results in the North Atlantic shows that regions of …
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Constraining the North Atlantic circulation with transient tracer observations
… of circulation properties from transient state distributions are impacted by uncertainties in the time-varying boundary conditions and sparse data coverage. Comparison of CFC, tritium, temperature and salinity (T-S) observations with model results in the North Atlantic shows that regions of …
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Bootstrap methods and parameter estimation in time series threshold modelling
… large and small sample behaviours of the true sampling distributions of parameter estimates of SETAR models and how they are affected by sample size. First and higher order SETAR models in the known and unknown threshold cases are considered. An introduction to the bootstrap methods (Efron, …
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Eliciting Bootstrapping: The Development of Introductory Statistics Students’ Informal Inferential Reasoning via Resampling
… students constructed and developed reasoning of sampling, the resampling process of bootstrapping, and inference. The focus of my analysis was on the model development of four focus groups of students. Groups of students constructed models of sampling and inference that they used to collect …
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An exploration of improving sampling within Monte Carlo ray tracing using adaptive blue noise.
… we demonstrate that strategically choosing sampling points with an intelligent use of adaptive blue noise sampling methods can drastically reduce the computation time required in the rendering process. We explore the state of the art in blue noise sample generation and explore new ways it …
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Empirical Bayes estimators for the cross-product ratio of 2x2 contingency tables
… the prior distribution. Three different types of sampling distributions of cell counts of 2x2 contingency tables were considered. In the Independent Poisson Case, an empirical Bayes estimator for the cross-product ratio is presented. If the squared error loss function is used, this empirical Bayes …
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Production frontiers and efficiency measures : concepts and applications
… to measuring production efficiencies. First, the sampling distributional assumptions artificially imposed on the one sided-error term used to characterize inefficiency are somewhat restrictive. Moreover, alternative distributional assumptions can lead to substantially different results for the …
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Production frontiers and efficiency measures : concepts and applications
… to measuring production efficiencies. First, the sampling distributional assumptions artificially imposed on the one sided-error term used to characterize inefficiency are somewhat restrictive. Moreover, alternative distributional assumptions can lead to substantially different results for the …
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Modified Burg algorithms for multivariate subset autoregression
… least squares. Saddlepoint approximations to the distributions of the Yule-Walker and Burg autoregressive coefficient estimators, when sampling from a subset Gaussian AR(p) with only one non-zero lag, are given. In this context, each estimator can be written as a ratio of quadratic forms in normal …
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Toward Error-Statistical Principles of Evidence in Statistical Inference
The context for this research is statistical inference, the process of making predictions or inferences about a population from observation and analyses of a sample. In this context, many researchers want to grasp what inferences can be made that are valid, in the sense of being able to uphold or …
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Balanced allocations under incomplete information: New settings and techniques
… bound. Further, in the presence of heterogeneous sampling distributions, we establish a striking difference between Two-Choice (or even 𝑑-Choice with 𝑑 = O(1)) and Memory, showing that for the later the gap is bounded, while for the former it is known to diverge [W07] ("power of memory").