"Selection of Variables in Multivariate Regression Models for Large Dimensions" [PDF]
The Akaike information criterion, AIC, and Mallows' Cp statistic have been proposed for selecting a smaller number of regressor variables in the multivariate regression models with fully unknown covariance matrix.
Muni S. Srivastava, Tatsuya Kubokawa
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Patient Preference, Visual Quality, and Multivariate Regression Analysis with Contralateral Bifocal and Trifocal Intraocular Lenses. [PDF]
Clin Ophthalmol, 2022 Bucci Jnr FA.
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A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Maxwell L. King +2 more
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Multivariate regression modelling for gender prediction using volatile organic compounds from hand odor profiles via HS-SPME-GC-MS. [PDF]
PLoS One, 2023 Frazier CJG +4 more
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Multivariate Regression in Conjunction with GA-BP for Optimization of Data Processing of Trace NO Gas Flow in Active Pumping Electronic Nose. [PDF]
Sensors (Basel), 2023 Sun P, Shi Y, Shi Y.
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Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model. [PDF]
Diagnostics (Basel), 2022 Oleynikov V +3 more
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Multivariate distribution regression
Econometric ReviewsThis article introduces multivariate distribution regression (MDR), a semi-parametric approach to estimate the joint distribution of outcomes conditional on covariates. The method allows for studying complex dependence structures and distributional treatment effects while maintaining high flexibility.
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L2,1-norm regularized multivariate regression model with applications to genomic prediction. [PDF]
Bioinformatics, 2021 Mbebi AJ, Tong H, Nikoloski Z.
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Multivariate quantile regression
This paper introduces a new framework for multivariate quantile regression based on the multivariate distribution function, termed multivariate quantile regression (MQR). In contrast to existing approaches--such as directional quantiles, vector quantile regression, or copula-based methods--MQR defines quantiles through the conditional probability ...
Galvao, Antonio F. +1 more
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Predictors of Referral to Cardiac Rehabilitation in Patients following Hospitalisation with Heart Failure: A Multivariate Regression Analysis. [PDF]
J Clin Med, 2022 Giuliano C +8 more
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