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 8 of 8 for “"finite mixture models"”.
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Advanced methods for analysing and modelling multivariate palaeoclimatic time series
… transportation as well as deposition mechanisms. Finite mixture models may be used to approximate the corresponding distribution functions appropriately. In order to give a complete description of the statistical uncertainty of the parameter estimates in such models, the concept of asymptotic …
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Methodological Development with Machine Learning and Bayesian Approaches in Cancer and Nutrition Research
… nutrition research. Chapter 2 explores Bayesian finite mixture models for adherence estimation and clinical trial design aimed at improving adherence. Bayesian methods use Bayes' theorem to update knowledge about parameters in a statistical model with new observed data, providing a probabilistic …
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Application of Hidden Markov Model in Finite Mixture Modeling of High-Dimensional Data
Finite mixture models (FMMs) are widely used in practice and are famous for modeling heterogeneous data in a convenient and effective way. Owing to their flexibility, finitemixtures have since been applied to a wide range of problems in diverse fields, includingimage analysis, medicine, …
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Advances in mixture modeling and model based clustering
… is model-based which relies on the idea of finite mixture models. This dissertations will propose new advances in clustering area mostly related to model-based clustering and its extension to the K-means algorithm. This report has five chapters. The first chapter is a literature review on …
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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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Mixed Mode Latent Class Clustering: An Examination of Fit Index Performance for Identifying Latent Classes
… interested in latent class clustering (LCC) or finite mixture models. The goal of LCC is to classify subjects from a large heterogeneous set of cases into homogeneous subgroups when the number of subgroups is unknown a priori. Despite the advantages of LCC over the traditional clustering, model …
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Cluster analysis of microbiome data via mixtures of Dirichlet-multinomial regression models
… compositions (known as enterotypes). Here, a finite mixture of Dirichlet-multinomial regression models is proposed and illustrated in order to account for the enterotype structure and allow for a probabilistic investigation of the relationship between bacterial abundance and …
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Firm heterogeneity in international trade
… engage in trade. The ability of current trade models to capture this kind of detailed firm-level trade reality brings them much closer to businesses and policymakers. This thesis aims to progress the field of international trade on the definition, characterization and measurement of the …