CovSel: Variable selection for highly multivariate and multi-response calibration
نویسندگان
چکیده
منابع مشابه
Multivariate Calibration Transfer Employing Variable Selection and Subagging
Neste artigo, é proposta uma nova técnica para transferência de calibração, que combina o Algoritmo das Projeções Sucessivas (APS) para seleção de variáveis robustas com a técnica de sub-amostragem e agregação de modelos conhecida como subagging. A técnica proposta tem por objetivo construir modelos de Regressão Linear Múltipla (RLM) que sejam robustos com respeito a diferenças na resposta inst...
متن کاملA variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
Variable (or wavelength) selection plays an important role in the quantitative analysis of near-infrared (NIR) spectra. A modified method of uninformative variable elimination (UVE) was proposed for variable selection in NIR spectral modeling based on the principle of Monte Carlo (MC) and UVE. The method builds a large number of models with randomly selected calibration samples at first, and th...
متن کاملGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration Problems
Corresponding Author: Anderson Silva Soares Federal University of Goias, Goiania, Brazil Email: [email protected] Abstract: One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to dete...
متن کاملVariable Selection for High Dimensional Multivariate Outcomes.
We consider variable selection for high-dimensional multivariate regression using penalized likelihoods when the number of outcomes and the number of covariates might be large. To account for within-subject correlation, we consider variable selection when a working precision matrix is used and when the precision matrix is jointly estimated using a two-stage procedure. We show that under suitabl...
متن کاملVariable Selection for Multivariate Logistic Regression Models
In this paper, we use multivariate logistic regression models to incorporate correlation among binary response data. Our objective is to develop a variable subset selection procedure to identify important covariates in predicting correlated binary responses using a Bayesian approach. In order to incorporate available prior information, we propose a class of informative prior distributions on th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chemometrics and Intelligent Laboratory Systems
سال: 2011
ISSN: 0169-7439
DOI: 10.1016/j.chemolab.2010.10.003