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 “"Finite Mixture model"”.
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Finite Mixture Model Specifications Accommodating Treatment Nonresponse in Experimental Research
… multiple signals from data streams with Gaussian mixture models, where their use is well matched to accommodate researchers in this predicament. While the mathematics underpinning models in either application remains unchanged, there are stark differences. In signal processing, results are …
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Online reviews and consumers' willingness to pay: the role of uncertainty
… strong support for the proposed conceptual model. Essay 3 establishes the relevance of this research for managers by applying the framework to real market data. Due to the nature of the transactional data, a finite mixture model is used to estimate the weighting function, and hypotheses are …
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Bayesian Approach Dealing with Mixture Model Problems
… we focus on two research topics related to mixture models. The first topic is Adaptive Rejection Metropolis Simulated Annealing for Detecting Global Maximum Regions, and the second topic is Bayesian Model Selection for Nonlinear Mixed Effects Model. In the first topic, we consider a finite …
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The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data
We propose the generalized linear mixed model for finite normal mixtures (GLMFM), as well as the estimation procedures for the GLMFM model, which are widely applicable to the hierarchical dataset with small number of individual units and multi-modal distributions at the lowest level of clustering. …
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Methodological Development with Machine Learning and Bayesian Approaches in Cancer and Nutrition Research
… and prediction through data and algorithm modeling by incorporating Bayesian and machine learning methodologies to solve problems in cancer and nutrition research. Chapter 2 explores Bayesian finite mixture models for adherence estimation and clinical trial design aimed at improving …
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Statistical methods for gene set based significance analysis.
… the enrichment analysis into a simple model comparison problem. The methods not only gain the flexibility in statistical modeling corresponding to biological problems but also achieve computational efficiency. First, we propose a likelihood based approach assuming a finite mixture model …
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Recurrent-Event Models for Change-Points Detection
… develops recurrent-event change-point models to detect the time when driving risk decreases significantly for novice teenager drivers. The dissertation consists of three major parts: the first part applies recurrent-event change-point models with identical change-points for all …
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A finite mixture approach for household residential choices
… to residential housing stock. Hedonic price models, however, do not identity sub-markets and thus may represent the workings of housing market and the valuation of amenities and dismaenties in a housing market. Identification of sub-markets allows us to have a more precise and reliable …
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Bayesian level sets and texture models for image segmentation and classification with application to non-invasive stem cell monitoring
… implementation similar to that of the finite mixture model EM. The BLS is subsequently extended to harness the power of image texture methods by incorporating learned sets of class-specific textural primitives, known as textons, within a three-stage Markov model. The resulting algorithm …
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Bayesian Hierarchical Methods and the Use of Ecological Thresholds and Changepoints for Habitat Selection Models
Modeling the complex relationships between habitat characteristics and a species' habitat preferences pose many difficult problems for ecological researchers. These problems are complicated further when information is collected over a range of time or space. Additionally, the variety of factors …
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Statistical Modelling of Mosquito Abundance and West Nile Virus Risk with Weather Conditions
… data and built the statistical forecasting models to predict the West Nile virus risk. In the first part, using mosquito data from the surveillance program in Peel Region, Ontario, we studied the distribution properties of Culex mosquito abundance data for the period from 2004 to 2012. We …
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Essays on the labour market in Ghana
… expectations of the unemployed using a probit model. The results show that unemployment is inequitably distributed in Ghana with the incidence of unemployment highest among the youth, medium educated, Christian, single, residents of Accra and urban dwellers, all of which have plausible …
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Three essays in applied econometrics
… growth using the dynamic threshold panel model on 17 developed countries for the period from the late 1800s to the most recent period (2013). Recent papers suggest that credit ha a non-linear effects on economic growth in the long-run, where the turning points are identified around 80-100% …
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Three papers in urban and regional economic and development
… club convergence theory. In this chapter, the finite mixture model is introduced as a new exploratory method to study the regional growth issue. This study finds the emergence of convergence clubs in the United States since the 1980s. The finite mixture normal model is used to identify the …