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Dissertations / Theses on the topic 'Finite mixtures'

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Published: 4 June 2021

Last updated: 1 February 2022

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1

Baeshu, Abdurrazagh M. "Finite mixtures of generalized Pareto distributions with applications." Thesis, University of Salford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244856.

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2

Malsiner-Walli, Gertraud, Sylvia Frühwirth-Schnatter, and Bettina Grün. "Identifying mixtures of mixtures using Bayesian estimation." Taylor & Francis, 2017. http://dx.doi.org/10.1080/10618600.2016.1200472.

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The use of a finite mixture of normal distributions in model-based clustering allows to capture non-Gaussian data clusters. However, identifying the clusters from the normal components is challenging and in general either achieved by imposing constraints on the model or by using post-processing procedures. Within the Bayesian framework we propose a different approach based on sparse finite mixtures to achieve identifiability. We specify a hierarchical prior where the hyperparameters are carefully selected such that they are reflective of the cluster structure aimed at. In addition, this

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3

Sial, Sultan. "A finite volume method for binary and surfactant mixtures." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21314.pdf.

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4

Malsiner-Walli, Gertraud, Sylvia Frühwirth-Schnatter, and Bettina Grün. "Model-based clustering based on sparse finite Gaussian mixtures." Springer, 2016. http://dx.doi.org/10.1007/s11222-014-9500-2.

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In the framework of Bayesian model-based clustering based on a finite mixture of Gaussian distributions, we present a joint approach to estimate the number of mixture components and identify cluster-relevant variables simultaneously as well as to obtain an identified model. Our approach consists in specifying sparse hierarchical priors on the mixture weights and component means. In a deliberately overfitting mixture model the sparse prior on the weights empties superfluous components during MCMC. A straightforward estimator for the true number of components is given by the most frequent number

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5

Das, Prabir Kumar. "Ageing of Asphalt Mixtures : Micro-scale and mixture morphology investigation." Doctoral thesis, KTH, Väg- och banteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-145051.

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There are many variables that affect the viscoelastic properties of asphalt mixtures with time, among which age hardening may be considered one of the important ones. Age hardening of asphalt mixtures is an irreversible process, which contributes to a reduction of the durability of pavements and eventually increases the maintenance cost. Beside the environmental effects, ageing in asphalt mixture depends on the physicochemical properties of bitumen and mixture morphology which is a combined effect of aggregate packing, porosity, air void distribution and their interconnectivity. Thus, a clear

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6

Marek, Petr. "Gaussian mixtures in R." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-193077.

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Using Gaussian mixtures is a popular and very flexible approach to statistical modelling. The standard approach of maximum likelihood estimation cannot be used for some of these models. The estimates are, however, obtainable by iterative solutions, such as the EM (Expectation-Maximization) algorithm. The aim of this thesis is to present Gaussian mixture models and their implementation in R. The non-trivial case of having to use the EM algorithm is assumed. Existing methods and packages are presented, investigated and compared. Some of them are extended by custom R code. Several exhaustive simu

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7

Huber, Florian. "Dealing with heterogeneity in panel VARs using sparse finite mixtures." WU Vienna University of Economics and Business, 2018. http://epub.wu.ac.at/6247/1/wp262.pdf.

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In this paper, we provide a parsimonious means of estimating panel VARs with stochastic volatility. We assume that coefficients associated with domestic lagged endogenous variables arise from a finite mixture of Gaussian distribution. Shrinkage on the cluster size is introduced through suitable priors on the component weights and cluster-relevant quantities are identified through novel normal-gamma shrinkage priors. To assess whether dynamic interdependencies between units are needed, we moreover impose shrinkage priors on the coefficients related to other countries' endogenous variables. Fi

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Pringle, Matthew. "Fnite [sic] element modelling of two-component, solid-liquid mixtures /." *McMaster only, 2001.

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9

Pötzelberger, Klaus. "On the Approximation of finite Markov-exchangeable processes by mixtures of Markov Processes." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1991. http://epub.wu.ac.at/526/1/document.pdf.

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We give an upper bound for the norm distance of (0,1) -valued Markov-exchangeable random variables to mixtures of distributions of Markov processes. A Markov-exchangeable random variable has a distribution that depends only on the starting value and the number of transitions 0-0, 0-1, 1-0 and 1-1. We show that if, for increasing length of variables, the norm distance to mixtures of Markov processes goes to 0, the rate of this convergence may be arbitrarily slow. (author's abstract)<br>Series: Forschungsberichte / Institut für Statistik

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10

Kendon, Vivien Mary. "Finite Reynolds number effects in fluid mixtures : an investigation using numerical simulation methods." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/12221.

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The scaling theory of the spinodal decomposition of a symmetric binary fluid mixture in the inertial region has been reviewed, and extended by considering energy balance, as well as the momentum balance described by the Navier-Stokes equation (NSE). The prediction for the asymptotic growth rate of the size of the separating fluid domains is ~<I>t<SUP>2/3</SUP></I>, as in simple scaling theory, but the ratio of the nonlinear to viscous terms in the NSE (the Reynolds number) is predicted to remain finite. This is due to the viscous term remaining important to the system dynamics, in contrast to

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11

Du, Ye Ting. "Simultaneous fixed and random effects selection in finite mixtures of linear mixed-effects models." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110592.

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Linear mixed-effects (LME) models are frequently used for modeling longitudinal data. One complicating factor in the analysis of such data is that samples are sometimes obtained from a population with significant underlying heterogeneity, which would be hard to capture by a single LME model. Such problems may be addressed by a finite mixture of linear mixed-effects (FMLME) models, which segments the population into subpopulations and models each subpopulation by a distinct LME model. Often in the initial stage of a study, a large number of predictors are introduced. However, their associations

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12

Frühwirth-Schnatter, Sylvia, and Gertraud Malsiner-Walli. "From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering." Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/s11634-018-0329-y.

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In model-based clustering mixture models are used to group data points into clusters. A useful concept introduced for Gaussian mixtures by Malsiner Walli et al. (Stat Comput 26:303-324, 2016) are sparse finite mixtures, where the prior distribution on the weight distribution of a mixture with K components is chosen in such a way that a priori the number of clusters in the data is random and is allowed to be smaller than K with high probability. The number of clusters is then inferred a posteriori from the data. The present paper makes the following contributions in the context of sparse finite

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13

Hoang, Vy-Thuy-Lynh. "Models and estimation algorithms for nonparametric finite mixtures with conditionally independent multivariate component densities." Thesis, Orléans, 2017. http://www.theses.fr/2017ORLE2012/document.

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Plusieurs auteurs ont proposé récemment des modèles et des algorithmes pour l'estimation nonparamétrique de mélanges multivariés finis dont l'identifiabilité n'est pas toujours assurée. Entre les modèles considérés, l'hypothèse des coordonnées indépendantes conditionnelles à la sous-population de provenance des individus fait l'objet d'une attention croissante, en raison des développements théoriques et pratiques envisageables, particulièrement avec la multiplicité des variables qui entrent en jeu dans le framework statistique moderne. Dans ce travail, nous considérons d'abord un modèle plus g

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Grün, Bettina, and Kurt Hornik. "Modelling human immunodeficiency virus ribonucleic acid levels with finite mixtures for censored longitudinal data." Wiley, 2012. http://epub.wu.ac.at/3708/1/j.1467%2D9876.2011.01007.x.pdf.

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The measurement of human immunodeficiency virus ribonucleic acid levels over time leads to censored longitudinal data. Suitable models for dynamic modelling of these levels need to take this data characteristic into account. If groups of patients with different developments of the levels over time are suspected the model class of finite mixtures of mixed effects models with censored data is required.We describe the model specification and derive the estimation with a suitable expectation-maximization algorithm.We propose a convenient implementation using closed form formulae for the expe

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Schneider, Micha [Verfasser], and Gerhard [Akademischer Betreuer] Tutz. "Finite mixtures for the modelling of heterogeneity in ordinal response / Micha Schneider ; Betreuer: Gerhard Tutz." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1203067291/34.

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Shanbara, H. K. "Development of new cold bitumen emulsion mixtures and finite element modelling of predicting permanent deformation." Thesis, Liverpool John Moores University, 2018. http://researchonline.ljmu.ac.uk/9615/.

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The increase of road infrastructure around the world involving the traditional hot mix asphalt (HMA) technology and its effects on the environment and health means that serious attention needs to be paid to building more sustainable flexible pavements. Cold bitumen emulsion mixture (CBEM) as an increasingly attractive cold asphalt mixture is therefore becoming an important subject area for study. Despite the efforts applied during the last few decades to enhance and develop CBEM application, certain issues still exist that make it inferior to HMA, resulting in limiting or minimizing its use. H

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17

Wang, Yongping. "Digital Simulative Test of Asphalt Mixtures Using Finite Element Method and X-Ray Tomography Images." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28748.

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Simulative tests, such as asphalt pavement analyzer (APA), Hamberg rut tester etc. have been widely used to evaluate the performance of asphalt mixtures. However, simulative tests to evaluate the performance of the mixtures cannot give fundamental properties of Asphalt Concrete (AC) due to the complex stress and strain fields. On the other hand, due to the availability of high-performance computing systems and software, numerical techniques are gaining popularity. This dissertation presents a computational simulation method of the APA tests in order to evaluate the rutting potential of asphalt

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18

Zhan, Tingting. "The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/171613.

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Statistics<br>Ph.D.<br>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. The modeling task is two-fold: (a). to model the lowest level cluster as a finite mixtures of the normal distribution; and (b). to model the properly transformed mixture proportions, means and standard deviations of the lowest-level cluster as a linear hierarchical structure. W

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Hellman, Samuel. "Evaluating model selection criteria for nuisance models in causal inference : (when the true models are finite mixtures)." Thesis, Umeå universitet, Statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-122686.

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When using inverse probability weighting (IPW) and doubly robust (DR) estimators for estimating the causal effect we need to use nuisance models for estimating the propensity scores, and for the DR estimator also the outcome regression. These nuisance models are often created using a selection of covariates, higher order and interaction terms, which require some model selection criteria. In this paper we will study selection criteria and their performance in fitting nuisance models for semi-parametric estimation of the causal eect. This will be done as a simulation study. Apart from the usual

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20

Bribesh, Fathi. "Free surface films of binary liquid mixtures." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/9810.

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Model-H is used to describe structures found in the phase separation in films of binary liquid mixture that have a surface that is free to deform and also may energetically prefer one of the components. The film rests on a solid smooth substrate that has no preference for any component. On the one hand the study focuses on static aspects by investigating steady states that are characterised by their concentration and film height profiles. A large variety of such states are systematically analysed by numerically constructing bifurcation diagrams in dependence of a number of control parameters.

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Carret, Jean-Claude. "Linear viscoelastic characterization of bituminous mixtures from dynamic tests back analysis." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSET012/document.

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La caractérisation du comportement des matériaux bitumineux est primordiale pour pouvoir dimensionner les structures de chaussées, mais aussi pour prédire de manière plus précise leur durée de vie. En effet, ces matériaux sont soumis à des phénomènes complexes, mécaniques, thermiques, physiques et chimiques qui apparaissent souvent de manière couplée. Devant la complexité des problèmes observés et avec l’apparition des nouveaux matériaux et nouvelles techniques de fabrication, des études avancées de laboratoire et des modélisations rhéologiques sont nécessaires. Les méthodes existantes permett

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22

Austin, Ryan A. "Modeling shock wave propagation in discrete Ni/Al powder mixtures." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37080.

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The focus of this work is on the modeling and simulation of shock wave propagation in reactive metal powder mixtures. Reactive metal systems are non-explosive, solid-state materials that release chemical energy when subjected to sufficiently strong stimuli. Shock loading experiments have demonstrated that ultra-fast chemical reactions can be achieved in certain micron-sized metal powder mixtures. However, the mechanisms of rapid mixing that drive these chemical reactions are currently unclear. The goal of this research is to gain an understanding of the shock-induced deformation that enabl

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23

Hornik, Kurt, and Bettina Grün. "movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions." American Statistical Association, 2014. http://epub.wu.ac.at/4893/1/v58i10.pdf.

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Finite mixtures of von Mises-Fisher distributions allow to apply model-based clustering methods to data which is of standardized length, i.e., all data points lie on the unit sphere. The R package movMF contains functionality to draw samples from finite mixtures of von Mises-Fisher distributions and to fit these models using the expectation-maximization algorithm for maximum likelihood estimation. Special features are the possibility to use sparse matrix representations for the input data, different variants of the expectationmaximization algorithm, different methods for determining the co

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Wu, Zhibo. "Equation of state for polytetrafluoroethylene (PTFE) and mixtures with PTFE." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29696.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Hanagud,Sathya; Committee Member: Apetre, Nicoleta; Committee Member: Kardomateas, George; Committee Member: McDowell, David L.; Committee Member: Ruzzene, Massimo. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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25

Li, Xiongya. "Robust multivariate mixture regression models." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/38427.

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Doctor of Philosophy<br>Department of Statistics<br>Weixing Song<br>In this dissertation, we proposed a new robust estimation procedure for two multivariate mixture regression models and applied this novel method to functional mapping of dynamic traits. In the first part, a robust estimation procedure for the mixture of classical multivariate linear regression models is discussed by assuming that the error terms follow a multivariate Laplace distribution. An EM algorithm is developed based on the fact that the multivariate Laplace distribution is a scale mixture of the multivariate standard no

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Pötzelberger, Klaus. "Finite de Finetti-Type Results as Approximation Results by the Expectation of Sufficient Statistics." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1995. http://epub.wu.ac.at/644/1/document.pdf.

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We show that finite de Finetti-type results may be viewed as results on the approximation of certain continuous functions of a parameter by a sequence of positive operators (Ln) . For distribtions that depend on a finite-dimensional statistic (Tn) only, Ln is the expectation operator of (Tn) under the extremal infinite exchangeable distributions. The rate of approximation of finite exchangeable distributions by mixtures of marginals of infinite exchangeable distributions is the rate of approximation of a single function of the parameter, namely the second indefinite integral of the Fisher info

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Cikojević, Viktor. "Ab-initio quantum Monte Carlo study of ultracold atomic mixtures." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672119.

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The properties of mixtures of Bose-Einstein condensates at T=0 have been investigated using quantum Monte Carlo (QMC) methods and Density Functional Theory (DFT) with the aim of understanding physics beyond the mean-field theory in Bose-Bose mixtures. In particular, quantum liquid droplets with attractive intraspecies and repulsive interspecies attraction were studied, for which we observed significant contributions beyond Lee Huang Yang (LHY) theory that affect the energy, saturation density, and surface tension. The critical atom number in droplets in free space for total number of atoms N b

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Basso, Rodrigo Marreiro. "Misturas finitas de misturas de escala skew-normal." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306678.

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Orientador: Victor Hugo Lachos Davila<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica<br>Made available in DSpace on 2018-08-13T07:03:11Z (GMT). No. of bitstreams: 1 Basso_RodrigoMarreiro_M.pdf: 3130269 bytes, checksum: 85e95beb812a4ec069f39f8b9c79681a (MD5) Previous issue date: 2009<br>Resumo: Nesse trabalho será considerada uma classe flexível de modelos usando misturas finitas de distribuições da classe de misturas de escala skew-normal. O algoritmo EM é empregado para se obter estimativas de máxima verossimilhanç

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Melo, Brian Alvarez Ribeiro de. "Análise Bayesiana de modelos de mistura finita com dados censurados." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-11052017-163847/.

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Misturas finitas são modelos paramétricos altamente flexíveis, capazes de descrever diferentes características dos dados em vários contextos, especialmente na análise de dados heterogêneos (Marin, 2005). Geralmente, nos modelos de mistura finita, todas as componentes pertencem à mesma família paramétrica e são diferenciadas apenas pelo vetor de parâmetros associado a essas componentes. Neste trabalho, propomos um novo modelo de mistura finita, capaz de acomodar observações censuradas, no qual as componentes são as densidades das distribuições Gama, Lognormal e Weibull (mistura GLW). Essas dens

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Höfler, Josef [Verfasser], Donna P. [Akademischer Betreuer] Ankerst, Donna P. [Gutachter] Ankerst, and Anastasios [Gutachter] Panagiotelis. "Statistical modeling with finite mixtures of skew-t distributions and their application in the life sciences / Josef Höfler ; Gutachter: Donna P. Ankerst, Anastasios Panagiotelis ; Betreuer: Donna P. Ankerst." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/120926983X/34.

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31

Milhaud, Xavier. "Mélanges de GLMs et nombre de composantes : application au risque de rachat en Assurance Vie." Thesis, Lyon 1, 2012. http://www.theses.fr/2012LYO10097/document.

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La question du rachat préoccupe les assureurs depuis longtemps notamment dans le contexte des contrats d'épargne en Assurance-Vie, pour lesquels des sommes colossales sont en jeu. L'émergence de la directive européenne Solvabilité II, qui préconise le développement de modèles internes (dont un module entier est dédié à la gestion des risques de comportement de rachat), vient renforcer la nécessité d'approfondir la connaissance et la compréhension de ce risque. C'est à ce titre que nous abordons dans cette thèse les problématiques de segmentation et de modélisation des rachats, avec pour object

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Sánchez, Luis Enrique Benites. "Finite mixture of regression models." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-10052018-131627/.

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This dissertation consists of three articles, proposing extensions of finite mixtures in regression models. Here we consider a flexible class of both univariate and multivariate distributions, which allow adequate modeling of asymmetric data that have multimodality, heavy tails and outlying observations. This class has special cases such as skew-normal, skew-t, skew-slash and skew normal contaminated distributions, as well as symmetric cases. Initially, a model is proposed based on the assumption that the errors follow a finite mixture of scale mixture of skew-normal (FM-SMSN) distribution rat

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Souza, Filho Nelson Lima de. "Modelagem bayesiana flexível em regressão com erros nas variáveis." Universidade Federal do Amazonas, 2012. http://tede.ufam.edu.br/handle/tede/3669.

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Made available in DSpace on 2015-04-22T22:16:04Z (GMT). No. of bitstreams: 1 Nelson Lima de Souza Filho.pdf: 1556771 bytes, checksum: 33a38464a9de0ec3dca0da75c9c6b64e (MD5) Previous issue date: 2012-12-06<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>In regression models, the classical normal assumption for the distribution of the measurement errors is often violated, masking some important features of the variability of the data. Some practical actions to overcome this problem, like transformations of the data, sometimes are not effective. In this work we p

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Heath, Jeffrey W. "Global optimization of finite mixture models." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7179.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Applied Mathematics and Scientific Computation Program. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Fúquene, Patiño Jairo A. "Finite mixture modeling with non-local priors." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/111373/.

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Choosing the number of mixture components remains a central but elusive challenge. Traditional model selection criteria can be either overly liberal or conservative when enforcing parsimony. They may also result in poorly separated components of limited practical use. In this thesis, the term parsimony refers to selecting a simpler model by enforcing a separation between the models under consideration, and the term sparsity refers to the ability of penalizing overfitted models leading to well-separated components with non-negligible weight, interpretable as distinct subpopulations. Non-local p

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Fahey, Michael Thomas. "Finite mixture models for dietary pattern identification." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611505.

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Burraston, Bert Owen. "The career criminal debate : comparing finite mixture modeling with growth mixture modeling /." view abstract or download file of text, 2003. http://wwwlib.umi.com/cr/uoregon/fullcit?p3095238.

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Thesis (Ph. D.)--University of Oregon, 2003.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 95-103). Also available for download via the World Wide Web; free to University of Oregon users.

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Zhang, Shiju. "Statistical Inferences under a semiparametric finite mixture model." See Full Text at OhioLINK ETD Center (Requires Adobe Acroba Reader for viewing), 2005. http://www.ohiolink.edu/etd/view.cgi?toledo1135779503.

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Thesis (Ph.D.)--University of Toledo, 2005.<br>Typescript. "A dissertation [submitted] as partial fulfillment of the requirements of the Doctor of Philosophy degree in Mathematics." Bibliography: leaves 100-105.

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Jayaram, Vikram. "Reduced dimensionality hyperspectral classification using finite mixture models." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Qarmalah, Najla Mohammed A. "Finite mixture models : visualisation, localised regression, and prediction." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12486/.

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Initially, this thesis introduces a new graphical tool, that can be used to summarise data possessing a mixture structure. Computation of the required summary statistics makes use of posterior probabilities of class membership obtained from a fitted mixture model. In this context, both real and simulated data are used to highlight the usefulness of the tool for the visualisation of mixture data in comparison to the use of a traditional boxplot. This thesis uses localised mixture models to produce predictions from time series data. Estimation method used in these models is achieved using a kern

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Soegiarso, Restuti Widayati. "A covariate model in finite mixture survival distributions." Case Western Reserve University School of Graduate Studies / OhioLINK, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=case1056547652.

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Ebrahimi, Davoud. "Three-dimensional finite element implementation for a dynamic solid-fluid mixture at finite strain." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1446092.

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Cross, Richard J. (Richard John). "Efficient Tools For Reliability Analysis Using Finite Mixture Distributions." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4853.

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The complexity of many failure mechanisms and variations in component manufacture often make standard probability distributions inadequate for reliability modeling. Finite mixture distributions provide the necessary flexibility for modeling such complex phenomena but add considerable difficulty to the inference. This difficulty is overcome by drawing an analogy to neural networks. With appropropriate modifications, a neural network can represent a finite mixture CDF or PDF exactly. Training with Bayesian Regularization gives an efficient empirical Bayesian inference of the failure time dis

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Currie, Christine Susan Mary. "Bayesian sampling methods in epidemic and finite mixture models." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433830.

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Dias, José Manuel Gonçalves. "Finite mixture models : review, applications, and computer-intensive methods /." Groningen, the Netherlands : Research School Systems, Organisation and Management, University of Groningen, 2004. http://bibpurl.oclc.org/web/30814.

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Manikas, Vasileios. "A Bayesian Finite Mixture Model for Network-Telecommunication Data." Thesis, Stockholms universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146039.

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A data modeling procedure called Mixture model, is introduced beneficial to the characteristics of our data. Mixture models have been proved flexible and easy to use, a situation which can be confirmed from the majority of papers and books which have been published the last twenty years. The models are estimated using a Bayesian inference through an efficient Markov Chain Monte Carlo (MCMC) algorithm, known as Gibbs Sampling. The focus of the paper is on models for network-telecommunication lab data (not time dependent data) and on the valid predictions we can accomplish. We categorize our var

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Stewart, Michael Ian. "Asymptotic methods for tests of homogeneity for finite mixture models." University of Sydney. Mathematics and Statistics, 2002. http://hdl.handle.net/2123/855.

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We present limit theory for tests of homogeneity for finite mixture models. More specifically, we derive the asymptotic distribution of certain random quantities used for testing that a mixture of two distributions is in fact just a single distribution. Our methods apply to cases where the mixture component distributions come from one of a wide class of one-parameter exponential families, both continous and discrete. We consider two random quantities, one related to testing simple hypotheses, the other composite hypotheses. For simple hypotheses we consider the maximum of the standard

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Fearnside, Alastair T. "Bayesian analysis of finite mixture distributions using the allocation sampler." Thesis, University of Glasgow, 2007. http://theses.gla.ac.uk/555/.

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Finite mixture distributions are receiving more and more attention from statisticians in many different fields of research because they are a very flexible class of models. They are typically used for density estimation or to model population heterogeneity. One can think of a finite mixture distribution as grouping the observations into components from which they are assumed to have arisen. In certain settings these groups have a physical interpretation. The interest in these distributions has been boosted recently because of the ever increasing computer power available to researchers to carry

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Stewart, Michael. "Asymptotic methods for tests of homogeneity for finite mixture models." Connect to full text, 2002. http://hdl.handle.net/2123/855.

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Thesis (Ph. D.)--University of Sydney, 2002.<br>Title from title screen (viewed Apr. 28, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Mathematics and Statistics, Faculty of Science. Includes bibliography. Also available in print form.

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Shiferaw, Benjamin. "Modélisation de la fissuration en milieu viscoélastique par approche Thick Level Set pour application au cas des enrobés bitumineux." Thesis, Ecole centrale de Nantes, 2019. http://www.theses.fr/2019ECDN0049.

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La fissuration des couches d’enrobé bitumineux (EB) est un mode de dégradation majeur des chaussées, dont la compréhension des divers mécanismes et facteurs responsables nécessite entre autres le développement de modélisations théoriques et d’outils numériques. Dans ce cadre cette thèse s’intéresse à la fissuration des matériaux à rhéologie thermo-viscoélastique. Un modèle d’endommagement local est ainsi développé en se basant sur le principe de contraintes effectives et la loi rhéologique de Poynting-Thomson. Le critère d’endommagement adopté repose sur le taux de restitution d’énergie élasti

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