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 20 of 30 for “"Bayesian techniques"”.
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Computational Bayesian techniques applied to cosmology
… 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well constrained. They present interesting challenges for Bayesian inference, which attempts to quantify our knowledge of the universe given our astrophysical data. A …
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SALT spectroscopy and classification of supernova spectra using Bayesian techniques
… candidates. These were classified using a new Bayesian Supernova spectra classifier, SuperNovaMC, that we developed to address limitations with existing algorithms. SuperNovaMC simultaneously finds the best fitting supernova and host galaxy using Bayesian model selection, fitting the entire …
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Monetary policy in low income countries: the case of Uganda
… of core inflation that is derived from wavelet techniques appears to provide a useful measure of this variable. Chapter 4 considers the role of financial frictions in Uganda. It makes use of a dynamic stochastic general equilibrium (DSGE) model that incorporates several small open-economy …
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Mitigating the Effects of Intersymbol Interference: Algorithms and Analysis
… drawn from a known prior distribution and uses Bayesian techniques to compute estimates of the transmitted symbols. To implement the proposed receiver, we employ a stacklike algorithm, which estimates the transmitted bits by navigating the tree generated by the combined code and channel. We …
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On the Use of Grouped Covariate Regression in Oversaturated Models
As data collection techniques improve, oftentimes the number of covariates exceeds the number of observations. When this happens, regression models become oversaturated and, thus, inestimable. Many classical and Bayesian techniques have been designed to combat this difficulty, with various means of …
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Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS
Current radio direction finding techniques are limited in flexibility and focus on specific applications. Commercial off the shelf systems exist for a wide range of applications from navigation to search and rescue and wildlife tracking. However these systems rely on commercially available VHF …
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Theater level operations other than war modeling : applications of decision making theory
… model uses probabilistic forecasting models and Bayesian techniques to predict what the state of a region in the theater will be some time in the future. Decision tree structures and the forecasting module are used to solve the decision making problem using expected utility. The model uses …
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Empirical Evaluation of DSGE Models for Emerging Countries
… model of an emerging country is estimated using Bayesian techniques, expanding the data set used in Chapter 1. The goal is to characterize the relative relevance of ten different business cycles' drivers: three sectorial technology shocks, embodied and disembodied non-stationary technology, terms …
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Comparison of accuracy and efficiency of five digital image classification algorithms
… Virginia and represent a range of available techniques including: a) AMOEBA (an unsupervised clustering technique with a spatial constraint) b) ISODATA (a hybrid minimum distance classifier) c) BOXDEC (a discrete parallelepiped classifier) d) BCLAS (a Bayesian classifier) e) HYPBOX (a …
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Optimal Experimental Design for Poisson Impaired Reproduction Studies
… concentrates on two areas: 1) the use of Bayesian techniques to make single regressor designs robust to parameter misspecification and 2) the extension of design optimality methods to the k-regressor model. The standard Poisson model with log link is used. Bayesian designs with priors on …
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Essays In Fiscal Policy
… consumers and fit to post-war U.S. data using Bayesian techniques. Allowing transfer payments to directly affect the consumption choices of rule-of-thumb agents permits a new interpretation of time series evidence regarding which fiscal instruments have historically financed government debt. …
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Probabilistic photometric redshifts in the era of petascale astronomy
… using two new, state-of-the-art machine learning techniques that are based on a random forest and a random atlas, respectively. By using data from several photometric surveys, we demonstrate the applicability of these new techniques, and we demonstrate that our new approach is among the best …
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Coupling Agent-Based Models with Bayesian Belief Networks in Social-Ecological Systems Modeling: The Role of Uncertainty in the Resilience of Semi-Arid Riparian Corridors in the Sonoran Desert
… developed a series of models to test the use of Bayesian modeling techniques in addressing human-based sources of uncertainty. The models were developed in two semi-arid river basins in the Sonoran Desert to represent model social-ecological systems with three sub-systems: social – urban and …
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Transmission of US monetary policy to the world economies. A time varying multi-country factor augmented vector autoregressive approach
… VAR (FAVAR) model which I estimate by using Bayesian techniques. I first examine all the possible channels through which a policy shock is transmitted in each country. In general the transmission of the shock hides considerable heterogeneity across the countries. I find that trade balance is …
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The interaction between HIV and other sexually transmitted infections in South Africa: a model-based evaluation
… and data from sexual behaviour surveys, using Bayesian techniques. Model results suggest that South Africa has some of the highest STI prevalence levels in the world, but that certain STIs – notably syphilis, chancroid, gonorrhoea and trichomoniasis – have declined in prevalence since the …
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Foreign portfolio equity flows in selected Sub-Saharan Africa Countries: the underlying process, impact on stock market capitalisation, and policy options
… understand the underlying process of the flows. Bayesian techniques based on sign restrictions are employed in estimating the Calderon-Rossell model, a unique approach, to establish the impact of these flows on stock market capitalisation. The robustness of the results is tested with the Fry and …
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Inference of Low-Dimensional Latent Structure in High-Dimensional Data
… of images, dynamic data, and documents with Bayesian nonparametrics. The thesis consists of three parts.</p><p>First, nonparametric Bayesian methods are considered for recovery of imagery based upon compressive measurements. A truncated beta-Bernoulli process is employed to infer an …
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Non-parametric bayesian methods for structured topic models
… large electronic document archives requires new techniques for automatically analysing large collections, which has posed several new and interesting research challenges. Topic modelling, as a promising statistical technique, has gained significant momentum in recent years in information …
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Non-parametric bayesian methods for structured topic models
… large electronic document archives requires new techniques for automatically analysing large collections, which has posed several new and interesting research challenges. Topic modelling, as a promising statistical technique, has gained significant momentum in recent years in information …
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Accelerating magnetic resonance imaging by unifying sparse models and multiple receivers
… the acquired data without resorting to techniques for constrained optimization. While this framework is presented generally, the effectiveness of the implementation depends on the choice of sparsifying transform, sparsity penalty function, and undersampling pattern. The second approach …
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