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Ellipsoid Method for Linear Regression Parameters Determination
Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
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BACKGROUND: Diabetic autonomic neuropathy is the reason for early morbidity and mortality on diabetic patients. The pathology not only cardiac innervation but microvascular is presented.AIMS: We estimated the parameters of skin microvascular blood flow ...
T. A. Zelenina +4 more
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Subnomality in soluble minimax groups [PDF]
A subgroup H of a group G is said to be subnormal in G if there is a finite chain of subgroups, each normal in its successor, connecting H to G. If such chains exist there is one of minimal length; the number of strict inclusions in this chain is called the subnormal index, or defect, of H in G.
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Assessing The Level Of Macroeconomic Stability Of EU Countries [PDF]
This article is devoted to the development of methods for assessing the integrated level of macroeconomic stability of the country. Systematization of literature sources and approaches to determining the factors influencing macroeconomic stability and ...
Andrii Zolkover, Jurij Renkas
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In the oil and gas industry, which is the basis of the Russian energy market, a significant and urgent question arises: How to distribute companies according to their investment attractiveness? Accordingly, quantitative indicators are needed.
Irina Vygodchikova +4 more
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Introduction Limited clinical studies have been conducted on rare solid tumours, and there are few guidelines on the diagnosis and treatment, including experiences with targeted therapy and immunotherapy, of rare solid tumours in China, resulting in ...
Hui Wang +22 more
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Semiparametric estimation of shifts on compact Lie groups for image registration [PDF]
In this paper we focus on estimating the deformations that may exist between similar images in the presence of additive noise when a reference template is unknown. The deformations aremodeled as parameters lying in a finite dimensional compact Lie group.
Vimond, Myriam +2 more
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A Concave-penalized Logistic Regression Model for Predicting ICI Treatment Respense [PDF]
To improve the accuracy of predicting the response of melanoma patients to immune checkpoint inhibitor (ICI) therapy, a new method integrating bulk RNA-seq and single-cell RNA-seq data was proposed.
MU Xiaoxia +3 more
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Background The research of biomarker-treatment interactions is commonly investigated in randomized clinical trials (RCT) for improving medicine precision. The hierarchical interaction constraint states that an interaction should only be in a model if its
Shaima Belhechmi +4 more
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Background The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus
Shaima Belhechmi +3 more
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