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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1475567
Abstract: Abstract In this paper, we introduce Liu estimator for the vector of parameters in linear measurement error models and discuss its asymptotic properties. Based on the Liu estimator, diagnostic measures are developed to identify influential…
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Keywords:
error models;
liu estimator;
influential observations;
measurement error ... See more keywords
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Published in 2022 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2023.2210180
Abstract: BCART (Bayesian Classification and Regression Trees) and BART (Bayesian Additive Regression Trees) are popular Bayesian regression models widely applicable in modern regression problems. Their popularity is intimately tied to the ability to flexibly model complex…
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Keywords:
regression;
bayesian regression;
tree models;
regression tree ... See more keywords
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Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab482
Abstract: Although high-throughput data allow researchers to interrogate thousands of variables simultaneously, it can also introduce a significant number of spurious results. Here we demonstrate that correlation analysis of large datasets can yield numerous false positives…
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Keywords:
driven influential;
observations large;
large datasets;
correlations driven ... See more keywords
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Published in 2018 at "Electronic Journal of Applied Statistical Analysis"
DOI: 10.1285/i20705948v11n1p21
Abstract: This paper proposed the distribution of Cook-Weisberg statistic used toevaluate the inuential observations in linear multiple regression analysis.The authors explored the relationship between the CW statistic and COVratio (Co-variance ratio) in terms of two independent…
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Keywords:
weisberg statistic;
cook weisberg;
influential observations;
distribution cook ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13112030
Abstract: Influential observations (IOs), which are outliers in the x direction, y direction or both, remain a problem in the classical regression model fitting. Spatial regression models have a peculiar kind of outliers because they are…
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Keywords:
spatial regression;
influential observations;
bad leverage;
regression model ... See more keywords