finite mixture
Estimation of Finite Mixture Models
... Finite mixture models historically have been analyzed as the composition of para- metric component probability densities [3, 5, ...finite mixture models, according to [4], is attributed to a study of ...
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Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
... on finite mixture distribution have been discussed by several ...a mixture of two exponential lifetime distributions based on right censored samples considered by [1,2] ...
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Using a Finite Mixture Model-Based Clustering Approach to Identify Move and Wait Strategies.
... increasingly piecemeal movements as latency increases. The operators will move a little, wait to see the results, and then move again. Detection of strategy use has relied on coarse measures: visual inspection or ...
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A misspecification test for finite mixture logistic models for clustered binary and ordered responses
... for finite-mixture models which is mainly based on information crite- ria, such as the Bayesian Information Criterion ...of mixture components, so detecting misspecification problems ...
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Bayesian Prediction under a Finite Mixture of Generalized Exponential Lifetime Model
... a finite mixture of two component Gompertz lifetime model, based on type-I censored ...a finite mixture of two components of generalized exponential distributions based on a type II censored ...
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Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach
... FIMIX-PLS performs well in both numerical examples and provides useful diagnostic informa- tion. By contrast, a sequential data analysis technique does not offer results that are exploitable for segment-specific ...
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A finite mixture latent trajectory model for hirings and separations in the labor market
... grant Finite mixture and latent variable models for causal inference and analysis of socio-economic data (FIRB - Futuro in ricerca 2012) funded by the Italian Government (grant ...
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Bayesian Inference of a Finite Mixture of Inverse Weibull Distributions with an Application to Doubly Censoring Data
... the finite mixture of Rayleigh model based on progressively censored ...the mixture of two inverse Weibull ...the mixture of Power function distribution using the complete and the censored ...
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Penalized Latent Variable Estimator For Finite Mixture of Regression Models.
... the finite mixture model framework, when an exponential family density is used to describe the components, a generalized linear model can be implemented as a general regression ...a finite ...
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Estimation under a Finite Mixture of Exponentiated Exponential Components Model and Balanced Square Error Loss
... a finite mixture of two components, one of which is Inverse Gaussian and the other is ...a mixture of two exponential ...a mixture of general compo- nents. Other references on finite ...
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Bayesian Finite Mixture Negative Binomial Model for Over-dispersed Count Data with Application to DMFT Index Data
... Bayesian Finite mixture negative binomial regression model and the model applied to simulated overdispersed count data to determine the exact number of negative binomial components to be mixed and finally ...
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Finite mixture model approach applied in the analysis of a turbulent bistable flow on two rows tube bank
... Fig. 5: (a, b) Velocity series. (c, d) PDF of the velocity series. (e, f) Joint CWT/DWT of the velocity series. Finite mixture model simulations were performed to know what PDF is more likely to have ...
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Unsupervised Learning Of Finite Mixture Models With Deterministic Annealing For Large scale Data Analysis
... Unsupervised Learning Of Finite Mixture Models With Deterministic Annealing For Large-scale Data Analysis" Thesis Defense, January 12, 2012".. Jong Youl Choi" Advisor: Geoffrey Fox!.[r] ...
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Unsupervised Learning Of Finite Mixture Models With Deterministic Annealing For Large scale Data Analysis
... presented finite mixture models to solve two of the well-known data mining algorithms based on a dimension reduction method; i) the GTM algorithm for dimension reduction and visualization and ii) the PLSA ...
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Keeping the balance—Bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models
... Abstract. Finite mixture models and their extensions to Markov mixture and mixture of experts models are very popular in analysing data of various ...the mixture labels for a subset of ...
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Finite Mixture of Regression Models for Complex Survey Data
... the finite mixture of models it is assumed that the sam- ple units are drawn from the population via a simple random ...the mixture approach is based on Skinner et ...the finite mixture ...
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Finite Mixture Estimation Algorithm for Arbitrary Function Approximation
... the finite mixture density, which integrates to unity, ∫ f ( x m , , ) w Θ Θ d x = 1 ...estimated finite mixture density f ( x m , , ) w Θ Θ in such a way that it can be compared to the ...
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Document Classification Using a Finite Mixture Model
... Experimental results indicate that our method of using the finite mixture model outperforms the method based on hard clustering of words.. Experimental results also indicate that in some[r] ...
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Finite mixture modeling with non local priors
... of finite mixture distributions. Section 1.1 presents the finite mixture dis- tributions and their ...of mixture distributions, ...
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Finite Mixture of Heteroscedastic Single Index Models
... In many applications a heterogeneous population consists of several subpopulations. When each subpopulation can be adequately modeled by a heteroscedastic single-index model, the whole population is characterized by a ...
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