Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Giuseppe, Pandolfo"'
Working with SEM and crosssectional data, and depending on the studied phenomenon, assuming an acyclic model may mean that we obtain only a partial view of the mechanisms that explain causal relationships between a set of theoretical constructs, trea
Externí odkaz:
http://arxiv.org/abs/2210.12520
Autor:
Giovanni Balato, Tiziana Ascione, Enrico Festa, Donato Di Gennaro, Giuseppe Pandolfo, Pasquale Pagliano
Publikováno v:
The Journal of Arthroplasty. 38:918-924
This study aimed to assess the most appropriate thresholds for neutrophils to lymphocytes ratio (NLR), platelets to lymphocytes ratio (PLR), monocytes to lymphocytes ratio (MLR), and platelets to mean platelet volume ratio (PVR) in patients who had a
Autor:
Giuseppe Pandolfo
Publikováno v:
Journal of Statistical Computation and Simulation. 92:2372-2385
Publikováno v:
Computational Statistics.
Ensemble methods are supervised learning algorithms that provide highly accurate solutions by training many models. Random forest is probably the most widely used in regression and classifcation problems. It builds decision trees on diferent samples
Autor:
Giovanni Balato, Tiziana Ascione, Enrico Festa, Elena De Vecchi, Pasquale Pagliano, Antonio Pellegrini, Giuseppe Pandolfo, Roberta Siciliano, Nicola Logoluso
Publikováno v:
Journal of orthopaedic research : official publication of the Orthopaedic Research Society.
This retrospective study was undertaken to i) define the most appropriate thresholds for serum D-dimer and Fibrinogen for differentiating aseptic failure from PJI and ii) evaluate the predictive value of our D-dimer and fibrinogen threshold compared
Publikováno v:
Scopus
A new concept of depth for central regions is introduced. The proposed depth notion assesses how well an interval fits a given univariate distribution as its zonoid region of level 1/2, and it is extended to the multivariate setting by means of a pro
Autor:
Giuseppe Pandolfo, Antonio D’ambrosio
Publikováno v:
Computational Statistics.
A new depth-based clustering procedure for directional data is proposed. Such method is fully non-parametric and has the advantages to be flexible and applicable even in high dimensions when a suitable notion of depth is adopted. The introduced techn
Publikováno v:
Journal of Classification. 38:112-128
In comparing clustering partitions, the Rand index (RI) and the adjusted Rand index (ARI) are commonly used for measuring the agreement between partitions. Such external validation indexes can be used to quantify how close the clusters are to a refer
Autor:
Carmela Iorio, Giuseppe Pandolfo
The mean-variance portfolio constitutes the milestone of the modern portfolio theory. The mean-variance model relies on two fundamental assumptions. First, a rational investor maximizes, over a single period, the expected return of an asset for a giv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::a5c6e7b6b13d0e49625f0cc5bd3b743d
http://hdl.handle.net/11588/874628
http://hdl.handle.net/11588/874628