Analysis of relative abundances with zeros on environmental gradients: a multinomial regression model. [PDF]
PeerJ, 2018 Ecologists often analyze relative abundances, which are an example of compositional data. However, they have made surprisingly little use of recent advances in the field of compositional data analysis.
Chong F, Spencer M.
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Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball. [PDF]
Stat Modelling, 2018 We propose the nuclear norm penalty as an alternative to the ridge penalty for regularized multinomial regression. This convex relaxation of reduced-rank multinomial regression has the advantage of leveraging underlying structure among the response ...
Powers S, Hastie T, Tibshirani R.
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Multiclass Classification by Sparse Multinomial Logistic Regression [PDF]
IEEE Transactions on Information Theory, 2021 In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood with a complexity penalty on the model size and derive the nonasymptotic bounds for misclassification excess risk of the resulting classifier.
Felix Abramovich +2 more
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Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression [PDF]
BMC Medical Research MethodologyBackground Medical outcomes of interest to clinicians may have multiple categories. Researchers face several options for risk prediction of such outcomes, including dichotomized logistic regression and multinomial logit regression modeling.
Lei Li +3 more
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Multinomial logistic regression method for early detection of autism spectrum disorders
Measurement: SensorsA child with autism spectrum syndrome may have diverse personality traits, making it a heterogeneous condition, with cognitive abilities, emotional types, and so on.
D. Jayaprakash, C.S. Kanimozhiselvi
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Sliding down the socioeconomic health gradient of COVID-19 in New York City: multinomial regression analyses of disproportionate financial hardship for Black, Latino, and Asian residents and households with children. [PDF]
Front Public HealthJimenez R +8 more
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Approximate Sparse Multinomial Logistic Regression for Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 We propose a new learning rule for sparse multinomial logistic regression (SMLR). The new rule is the generalization of the one proposed in the pioneering work by Krishnapuram et al. In our proposed method, the parameters of SMLR are iteratively estimated from log-posterior by using some approximations.
K. Kayabol
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MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. [PDF]
BMC Bioinformatics, 2020 Koslovsky MD, Vannucci M.
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Analysis of genomic signatures in prokaryotes using multinomial regression and hierarchical clustering [PDF]
BMC Genomics, 2009 Background Recently there has been an explosion in the availability of bacterial genomic sequences, making possible now an analysis of genomic signatures across more than 800 hundred different bacterial chromosomes, from a wide variety of environments ...
Skjerve Eystein +2 more
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A Dirichlet-tree multinomial regression model for associating dietary nutrients with gut microorganisms. [PDF]
Biometrics, 2017 Wang T, Zhao H.
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