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 9 of 9 for “"slice sampling"”.
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Slice Sampling with Multivariate Steps
… Second, it presents a collection of new slice-sampling MCMC methods. These methods either adapt globally or use the adaptive crumb framework for sampling with multivariate steps. They perform well with minimal tuning on distributions when popular methods do not. Methods in the first group …
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Slice sampling on Riemannian manifolds
This thesis is concerned with hybrid slice samplers for approximate sampling of distributions on Riemannian manifolds. First for distributions on the Euclidean unit sphere, and then for distributions on general Riemannian manifolds we introduce a geodesic-based hybrid slice sampler, called geodesic …
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Mcmc- Based Optimization And Application
… In the thesis, we first focus on the methods of slice sampling and simulated annealing. While slice sampling has a merit to generate samples based on the underlying distribution with adjustable step size, simulated annealing can facilitate samples to jump out of local optima and converge quickly …
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Bayesian generalized additive model selection
… enable the Markov chain Monte Carlo (MCMC) sampling reduce to the Gibbs sampling or to slice sampling. To improve computational scalability and speed, we also derive the mean field variational Bayes (MFVB) algorithms under the Laplace-Zero and Grouped Lasso-Zero priors. The GAM selection …
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Deep Gaussian Process Surrogates for Computer Experiments
… in a Bayesian scheme, hinging on elliptical slice sampling of latent layers. I demonstrate how my DGP's non-stationary flexibility, combined with appropriate UQ, allows for active learning: a virtuous cycle of data acquisition and model updating that departs from traditional space-filling …
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Combining Probabilistic Shape-from-Shading & Statistical Facial Shape Models
… (FB8) distributions are sampled using Gibbs sampling to give normal distributions on the tangent plane. These normal distributions are in turn combined with normal distributions arising from statistical models of facial shapes. Chapter 2 gives a brief review of Shape-from-Shading and …
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Non-parametric Bayesian models for structured output prediction
… chain Monte Carlo algorithm based on elliptical slice sampling and investigate its properties. We then validate it on real data experiments, and explore two topologies: sequence output with text labelling tasks, and grid output with semantic segmentation of images. The latter case poses …
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Continuous-Time Models of Arrival Times and Optimization Methods for Variable Selection
… inference. An MCMC algorithm based on Gibbs sampling with slice-sampling steps is provided and illustrated on simulated and real datasets. The MCMC algorithm exhibits excellent mixing and scalability.</p><p>Chapter 3 builds on the previous model to detect specific signals in temporal point …
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Scalable Surrogates for Counts and Computer Experiments
Data collected by the Interstellar Boundary Explorer (IBEX), recording counts of heliospheric energetic neutral atoms (ENAs), exhibit a phenomenon that has caused space scientists to revise hypotheses about the physical processes, and computer simulations under those models, that are in play at the …