Corporate Bankruptcy Prediction Using the Principal Components Method
Корпоративные финансы, 2019 A huge number of articles and papers devoted to the study of bankruptcy prediction problems. Solving the problem of predictive ability many difficulties arise from the processing of data ending with the choice of models and algorithms.
Alexander Grigoriev, Konstantin Tarasov
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Age and Visual Contribution Effects on Postural Control Assessed by Principal Component Analysis of Kinematic Marker Data [PDF]
, 2023 Arunee Promsri
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Image encoding by independent principal components [PDF]
, 2010 The encoding of images by semantic entities is still an unresolved task. This paper proposes the encoding of images by only a few important components or image primitives. Classically, this can be done by the Principal Component Analysis (PCA). Recently,
Arlt, Björn, Brause, Rüdiger W.
core
Why emerging leaders should focus on being good postdoctoral supervisors
FEBS Letters, EarlyView.Swamped with work and suddenly a new student is waiting at your doorstep for supervision? Great—this is your chance! In this article, we share tips on how postdocs can strengthen their leadership skills while supervising students. This image has been created using DALL·E. Many postdocs work as leaders later in their career.
Hannah Rostalski +5 more
wiley +1 more source
gdpc: An R Package for Generalized Dynamic Principal Components
Journal of Statistical Software, 2020 gdpc is an R package for the computation of the generalized dynamic principal components proposed in Peña and Yohai (2016). In this paper, we briefly introduce the problem of dynamical principal components, propose a solution based on a reconstruction ...
Daniel Peña +2 more
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Common Functional Principal Components [PDF]
Functional principal component analysis (FPCA) based on the Karhunen-Lo`eve decomposition has been successfully applied in many applications, mainly for one sample problems.
Alois Kneip +2 more
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Hematopoietic (stem) cells—The elixir of life?
FEBS Letters, EarlyView.The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo +4 more
wiley +1 more source
Using Principal Components Analysis in Program Evaluation: Some Practical Considerations
Journal of MultiDisciplinary Evaluation, 2006 Principal Components Analysis (PCA) is widely used by behavioral science researchers to assess the dimensional structure of data and for data reduction purposes.
J. Thomas Kellow
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Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Diagnosis of Dry Eye Disease Using Principal Component Analysis: A Study in Animal Models of the Disease [PDF]
, 2021 Robert Honkanen +3 more
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