Zobrazeno 1 - 10
of 853
pro vyhledávání: '"Ausloos, Marcel"'
In this paper, we propose how to use objective arguments grounded in statistical mechanics concepts in order to obtain a single number, obtained after aggregation, which would allow to rank "agents", "opinions", ..., all defined in a very broad sense
Externí odkaz:
http://arxiv.org/abs/2405.00041
Autor:
Ausloos, Marcel
Publikováno v:
European Journal of Operational Research 314 (2024) 807-816
In this paper, I report some investigation discussing team selection, whence hierarchy, through ranking indicators, for example when measuring professional cyclist team's sportive value, in particular in multistage races. A logical, it seems, constra
Externí odkaz:
http://arxiv.org/abs/2404.02910
Purpose: The study aims to analyze the synergy of Artificial Intelligence (AI), with scientometrics, webometrics, and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields. Design/met
Externí odkaz:
http://arxiv.org/abs/2403.18838
Publikováno v:
Quality & Quantity 57 (2023) 3685-3712
Highly cited papers are influenced by external factors that are not directly related to the document's intrinsic quality. In this study, 50 characteristics for measuring the performance of 68 highly cited papers, from the Journal of the American Medi
Externí odkaz:
http://arxiv.org/abs/2306.13492
Autor:
Ausloos, Marcel
It seems that one cannot find many papers relating entropy to sport competitions. Thus, in this paper, I use (i) the Shannon intrinsic entropy ($S$) as an indicator of "teams sporting value" (or "competition performance") and (ii) the Herfindahl-Hirs
Externí odkaz:
http://arxiv.org/abs/2306.10560
Autor:
Vinte, Claudiu, Ausloos, Marcel
Publikováno v:
Journal of Risk Financial Management 2023, 16(2), 114
Selecting stock portfolios and assessing their relative volatility risk compared to the market as a whole, market indices, or other portfolios is of great importance to professional fund managers and individual investors alike. Our research uses the
Externí odkaz:
http://arxiv.org/abs/2303.09330
This paper faces a central theme in applied statistics and information science, which is the assessment of the stochastic structure of rank-size laws in text analysis. We consider the words in a corpus by ranking them on the basis of their frequencie
Externí odkaz:
http://arxiv.org/abs/2210.06963
Autor:
Ausloos, Marcel
Publikováno v:
Frontiers in Physics (2022) 10:887752
In this paper, the approach of network mapping of words in literary texts is extended to ''textual factors'': the network nodes are defined as ''concepts''; the links are ''community connexions''. Thereafter, the text network properties are investiga
Externí odkaz:
http://arxiv.org/abs/2208.01449
Publikováno v:
Entropy 2019, 21(12), 1173 (This article belongs to the Special Issue Disordered Systems, Fractals and Chaos)
This article introduces an intrinsic entropy model that can be used as an indicator to gauge investor interest in a given exchange-traded security, along with the state of the general market corroborated by individual security trade data. Although th
Externí odkaz:
http://arxiv.org/abs/2205.01386
Publikováno v:
Entropy 2021, 23(4), 484 (This article belongs to the Special Issue Information Theory and Economic Network)
Grasping the historical volatility of stock market indices and accurately estimating are two of the major focuses of those involved in the financial securities industry and derivative instruments pricing. This paper presents the results of employing
Externí odkaz:
http://arxiv.org/abs/2205.01370