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 modeling"”.
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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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Multiple-Species Models for True Abundances Allowing for Heterogeneity of Capture Between and Within Species
… this fact. In this paper, we explore the use of finite mixture modeling to quantify species' true abundances within a population while allowing for unknown differences in the individuals' capture probabilities. This modeling also allows us to develop diversity and evenness measures based on true …
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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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The Utility of Cranial and Dental Data in an Integrated Approach to Population Affinity
… analyzed using latent class analysis, a type of finite mixture modeling used to identify unobserved subgroups or classes within a population. This type of mixture model assumes that within the heterogeneous data, there is a set of unobserved, or latent, variables whose pattern can predict class …
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Cancer Related Symptom Clusters
… coverage as "unknown." Cluster analysis and finite mixture modeling revealed that the symptoms of anxiety, depression, somatization, pain, and fatigue clustered into two distinct groups—a large sub sample with low symptom scores and a small sub sample with high symptom scores. Women and …
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MULTIVARIATE FINITE MIXTURE GROUP-BASED TRAJECTORY MODELING WITH APPLICATION TO MENTAL HEALTH STUDIES
… applied in trajectory analysis: 1) hierarchical modeling based on a multilevel structure, or 2) latent growth curve modeling (LGCM) based on a covariance structure (Raudenbush & Bryk, 2002; Bollen & Curran, 2006). However, this thesis used a third trajectory analysis method: group-based …
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Latent class profile analysis : inference, estimation and its applications
… processes have been derived from the family of finite mixture modeling. However, research on the sequential process is rendered difficult by the fact that the number of latent components is not knowna priori. To address this problem, we propose two solutions, reversible jump MCMC and the …
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Transnational NGOs: A US Perspective
<p>This study examines how leaders of transnational NGOs (TNGOs) across the United States understand transnational activism and the roles their organizations play in world affairs. Three roles are identified: alleviation, realization and environmentalism. Analysis suggests that scholarship in …