Model Simplification for Supervised Classification of Metabolic Networks

Autor: Mario Rosario Guarracino, Panos M. Pardalos, Ichcha Manipur, Ilaria Granata, Valeriy A. Kalyagin, Lucia Maddalena

Publikováno v: Annals of mathematics and artificial intelligence (Dordr., Online) 88 (2020): 91–104. doi:10.1007/s10472-019-09640-y
info:cnr-pdr/source/autori:Ilaria Granata, Mario R. Guarracino, Valery A. Kalyagin, Lucia Maddalena, Ichcha Manipur, and Panos M. Pardalos/titolo:Model Simplification for Supervised Classification of Metabolic Networks/doi:10.1007%2Fs10472-019-09640-y/rivista:Annals of mathematics and artificial intelligence (Dordr., Online)/anno:2020/pagina_da:91/pagina_a:104/intervallo_pagine:91–104/volume:88

Many real applications require the representation of complex entities and their relations. Frequently, networks are the chosen data structures, due to their ability to highlight topological and qualitative characteristics. In this work, we are intere

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59740d55b22601be80a2d49b89745c71
https://doi.org/10.1007/s10472-019-09640-y

Uniformly most powerful unbiased test for conditional independence in Gaussian graphical model

Autor: Alexander P. Koldanov, P. A. Koldanov, Panos M. Pardalos, Valeriy A. Kalyagin

Publikováno v: Statistics & Probability Letters. 122:90-95

Model selection for Gaussian concentration graph is based on multiple testing of pairwise conditional independence. In practical applications partial correlation tests are widely used. However it is not known whether partial correlation test is unifo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ddf2bbd1a7d3cd3a3ada0091cbd56bc7
https://doi.org/10.1016/j.spl.2016.11.003

On some statistical procedures for stock selection problem

Autor: P. A. Koldanov, Valeriy A. Kalyagin, Grigory A. Bautin

Publikováno v: Annals of Mathematics and Artificial Intelligence. 76:47-57

The problem of stock selection in market network is discussed from different points of view. Three different sequentially rejective statistical procedures for stock selection are described and compared: Holm multiple test procedure, maximin multiple

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::582fa7ccca25fe6ce705049961a7fb3f
https://doi.org/10.1007/s10472-014-9447-1

Statistical procedures for the market graph construction

Autor: P. A. Koldanov, Alexander P. Koldanov, Panos M. Pardalos, Valeriy A. Kalyagin

Publikováno v: Computational Statistics & Data Analysis. 68:17-29

The statistical analysis of the method of construction of the market graph when considered as a multiple decision statistical procedure is investigated. It is shown that under the condition of additivity of the loss function the method can be optimal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b6da190b9432f7d958f5f7a7870b4c6f
https://doi.org/10.1016/j.csda.2013.06.005

Simple measure of similarity for the market graph construction

Autor: Valeriy A. Kalyagin, Panos M. Pardalos, P. A. Koldanov, Alexander P. Koldanov, Grigory A. Bautin

Publikováno v: Computational Management Science. 10:105-124

A simple measure of similarity for the construction of the market graph is proposed. The measure is based on the probability of the coincidence of the signs of the stock returns. This measure is robust, has a simple interpretation, is easy to calcula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::377468f4be10efdd1de11a0e8fdcd0c6
https://doi.org/10.1007/s10287-013-0169-3