Generalized finite mixture of multivariate regressions with applications to therapeutic biomarker identification.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mixture multivariate; generalized finite; multivariate regressions; multivariate ... See more keywords
Bayesian hierarchical finite mixture of regression for histopathological imaging‐based cancer data analysis
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: finite mixture; analysis; histopathological imaging; cancer ... See more keywords
Do remittances not promote growth? A finite mixture-of-regressions approach
Sign Up to like & getrecommendations! 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… read more here.
Keywords: mixture regressions; promote growth; remittances promote; finite mixture ... See more keywords
Estimation of finite mixture models of skew-symmetric circular distributions
Sign Up to like & getrecommendations! 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… read more here.
Keywords: symmetric circular; estimation finite; skew symmetric; finite mixture ... See more keywords
Robust finite mixture regression for heterogeneous targets
Sign Up to like & getrecommendations! 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… read more here.
Keywords: regression; mixture regression; regression heterogeneous; finite mixture ... See more keywords
Performance of a finite mixture model in CPUE standardization for a longline fishery with target change
Sign Up to like & getrecommendations! 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… read more here.
Keywords: target strategy; finite mixture; model; target ... See more keywords
Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety
Sign Up to like & getrecommendations! 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… read more here.
Keywords: empirical bayes; safety; model; negative binomial ... See more keywords
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging-environment interactions.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: finite mixture; mixture regression; histopathological imaging; analysis ... See more keywords
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: finite mixture; matrix factorization; data matrix; probabilistic matrix ... See more keywords
Sparse estimation in semi-parametric finite mixture of varying coefficient regression models.
Sign Up to like & getrecommendations! Published in 2023 at "Biometrics"
DOI: 10.1111/biom.13870
Abstract: Finite mixture of regressions (fmr) are commonly used to model heterogeneous effects of covariates on a response variable in settings where there are unknown underlying subpopulations. fmrs, however, cannot accommodate situations where covariates' effects also… read more here.
Keywords: finite mixture; coefficient regression; mixture; varying coefficient ... See more keywords
Application of Finite Mixture of Logistic Regression for Heterogeneous Merging Behavior Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Advanced Transportation"
DOI: 10.1155/2018/1436521
Abstract: A finite mixture of logistic regression model (FMLR) was applied to analyze the heterogeneity within the merging driver population. This model can automatically provide useful hidden information about the characteristics of the driver population. EM… read more here.
Keywords: finite mixture; model; logistic regression; mixture logistic ... See more keywords