Zobrazeno 1 - 10
of 104
pro vyhledávání: '"LUCIO BARABESI"'
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 2, p 025017 (2023)
We introduce a methodology based on averaging similarity matrices with the aim of integrating the layers of a multiplex network into a single monoplex network. Multiplex networks are adopted for modelling a wide variety of real-world frameworks, such
Externí odkaz:
https://doaj.org/article/17d9ea04d343415eb93120d57be1abe6
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0242520 (2020)
This paper analyzes the concordance between bibliometrics and peer review. It draws evidence from the data of two experiments of the Italian governmental agency for research evaluation. The experiments were performed by the agency for validating the
Externí odkaz:
https://doaj.org/article/ae709896fd55496cb6df4d590dea263f
In a recent paper, Svante Janson has considered a conjecture suggested by Va\v{s}ek Chv\a'atal dealing with the probability that a binomial random variable with parameters $n$ and $m/n$ - where $m$ is an integer - exceeds its expectation $m$. Albeit
Externí odkaz:
http://arxiv.org/abs/2104.11971
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. The test statistic is derived from the $L_1$-distance of a function of the probability generating function of the model under the null hypothesis and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b47c5dc0dcbed3140accb58e3064c97
https://hdl.handle.net/11365/1221424
https://hdl.handle.net/11365/1221424
Publikováno v:
Statistical Methods & Applications. 30:767-778
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06c0f40226a2414378e12d9323f820f9
https://doi.org/10.1007/s10260-021-00588-0
https://doi.org/10.1007/s10260-021-00588-0
This paper explores intellectual and social proximity among scholarly journals by using network fusion techniques. Similarities among journals are initially represented by means of a three-layer network based on co-citations, common authors and commo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f684fcf30f1cc286eb086240517e28
http://hdl.handle.net/11365/1173323
http://hdl.handle.net/11365/1173323
Autor:
Luca Pratelli, Lucio Barabesi
Publikováno v:
Statistics & Probability Letters. 148:66-73
The Takacs law – which includes the generalized Dickman law as a special case – arises as a limiting distribution of normalized sums. We provide some properties of this law and a feasible method for computing the probability density and distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d02664b76ccd10a99cc7a476c47964a
https://doi.org/10.1016/j.spl.2019.01.005
https://doi.org/10.1016/j.spl.2019.01.005
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance The detection of frauds is one of the most prominent applications of the Newcomb–Benford law for significant digits. However, no general theory can exactly anticipate whether this law provides a valid model for genuine, that is, nonfra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e34822b3fe9816a3a9885dd1322b40
https://doi.org/10.1073/pnas.1806617115
https://doi.org/10.1073/pnas.1806617115
Benford’s law defines a probability distribution for patterns of significant digits in real numbers. When the law is expected to hold for genuine observations, deviation from it can be taken as evidence of possible data manipulation. We derive resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62c0fca0187cd383ecdad530b763af30