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of 23
pro vyhledávání: '"Saraceno, Giovanni"'
In the statistical literature, as well as in artificial intelligence and machine learning, measures of discrepancy between two probability distributions are largely used to develop measures of goodness-of-fit. We concentrate on quadratic distances, w
Externí odkaz:
http://arxiv.org/abs/2407.16374
We introduce the QuadratiK package that incorporates innovative data analysis methodologies. The presented software, implemented in both R and Python, offers a comprehensive set of goodness-of-fit tests and clustering techniques using kernel-based qu
Externí odkaz:
http://arxiv.org/abs/2402.02290
We consider robust estimation of wrapped models to multivariate circular data that are points on the surface of a $p$-torus based on the weighted likelihood methodology.Robust model fitting is achieved by a set of weighted likelihood estimating equat
Externí odkaz:
http://arxiv.org/abs/2401.04686
The Seemingly Unrelated Regressions (SUR) model is a wide used estimation procedure in econometrics, insurance and finance, where very often, the regression model contains more than one equation. Unknown parameters, regression coefficients and covari
Externí odkaz:
http://arxiv.org/abs/2107.00975
Publikováno v:
Saraceno, G., Agostinelli, C. & Greco, L. Robust estimation for multivariate wrapped models. METRON (2021)
A weighted likelihood technique for robust estimation of a multivariate Wrapped Normal distribution for data points scattered on a p-dimensional torus is proposed. The occurrence of outliers in the sample at hand can badly compromise inference for st
Externí odkaz:
http://arxiv.org/abs/2010.08444
Many real-life data sets can be analyzed using Linear Mixed Models (LMMs). Since these are ordinarily based on normality assumptions, under small deviations from the model the inference can be highly unstable when the associated parameters are estima
Externí odkaz:
http://arxiv.org/abs/2010.05593
In the classical contamination models, such as the gross-error (Huber and Tukey contamination model or Case-wise Contamination), observations are considered as the units to be identified as outliers or not. This model is very useful when the number o
Externí odkaz:
http://arxiv.org/abs/1909.04325
Akademický článek
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Publikováno v:
AStA Advances in Statistical Analysis; Dec2024, Vol. 108 Issue 4, p853-888, 36p
Publikováno v:
AStA Advances in Statistical Analysis; Mar2024, Vol. 108 Issue 1, p127-157, 31p