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Published in 2024 at "Crop Science"
DOI: 10.1002/csc2.21400
Abstract: The multi‐floral oat (Avena sativa L.) inflorescence influences grain size and shape distributions, affecting the physical attributes of grain quality such as plumpness, size, and uniformity. While the grain size and shape distribution has been…
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Keywords:
finite mixture;
distribution;
grain size;
mixture distribution ... See more keywords
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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8726
Abstract: Finite mixtures of regressions have been used to analyze data that come from a heterogeneous population. When more than one response is observed, accommodating a multivariate response can be useful. In this article, we go…
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Keywords:
mixture multivariate;
generalized finite;
multivariate regressions;
multivariate ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9309
Abstract: Cancer is heterogeneous, and for seemingly similar cancer patients, the associations between an outcome/phenotype and covariates can be different. To describe such differences, finite mixture of regression (FMR) and other modeling techniques have been developed.…
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Keywords:
finite mixture;
analysis;
histopathological imaging;
cancer ... See more keywords
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Published in 2018 at "Empirical Economics"
DOI: 10.1007/s00181-016-1224-z
Abstract: This paper re-examines the impact of remittance inflows on growth using data for developing countries over the period 1970–2010. We relax the hypothesis that all countries follow the same unique growth regime in favor of…
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Keywords:
mixture regressions;
promote growth;
remittances promote;
finite mixture ... See more keywords
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Published in 2019 at "Metrika"
DOI: 10.1007/s00184-019-00756-z
Abstract: Analysis of circular data is challenging, since the usual statistical methods are unsuitable and it is necessary to use circular periodic probabilistic models. Because some actual circular datasets exhibit asymmetry and/or multimodality, finite mixtures of…
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Keywords:
symmetric circular;
estimation finite;
skew symmetric;
finite mixture ... See more keywords
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Published in 2018 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-018-0564-z
Abstract: Finite Mixture Regression (FMR) refers to the mixture modeling scheme which learns multiple regression models from the training data set. Each of them is in charge of a subset. FMR is an effective scheme for…
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Keywords:
regression;
mixture regression;
regression heterogeneous;
finite mixture ... See more keywords
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Published in 2021 at "Fisheries Science"
DOI: 10.1007/s12562-021-01515-8
Abstract: Standardized catch per unit effort (CPUE) is frequently used to represent annual fish-stock abundance trends. In multispecies fisheries, the catchability coefficient differs depending on the target strategy. Consideration of the target strategy in CPUE standardization…
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Keywords:
target strategy;
finite mixture;
model;
target ... See more keywords
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Published in 2024 at "Statistics"
DOI: 10.1080/02331888.2024.2347343
Abstract: In this paper, we establish sufficient conditions for stochastic comparisons of two finite mixture models (FMMs) with respect to the usual stochastic order, hazard rate order, and likelihood ratio order when the mixing components have…
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Keywords:
finite mixture;
generalized weibull;
mixture models;
two finite ... See more keywords
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Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2017.1389863
Abstract: ABSTRACT The empirical Bayes (EB) method is commonly used by transportation safety analysts for conducting different types of safety analyses, such as before–after studies and hotspot analyses. To date, most implementations of the EB method…
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Keywords:
empirical bayes;
safety;
model;
negative binomial ... See more keywords
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Published in 2023 at "Biostatistics"
DOI: 10.1093/biostatistics/kxab038
Abstract: Cancer is a heterogeneous disease. Finite mixture of regression (FMR)-as an important heterogeneity analysis technique when an outcome variable is present-has been extensively employed in cancer research, revealing important differences in the associations between a…
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Keywords:
finite mixture;
mixture regression;
histopathological imaging;
analysis ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3196444
Abstract: Matrix factorization (MF) methods decompose a data matrix into a product of two-factor matrices (denoted as U and V ) which are with low ranks. In this article, we propose a generative latent variable model…
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Keywords:
finite mixture;
matrix factorization;
data matrix;
probabilistic matrix ... See more keywords