Journal of the Italian Statistical Society

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Bootstrap prediction regions for multivariate autoregressive processes
Journal of the Italian Statistical Society - Tập 14 - Trang 179-207 - 2005
Matteo Grigoletto
Two new methods for improving prediction regions in the context of vector autoregressive (VAR) models are proposed. These methods, which are based on the bootstrap technique, take into account the uncertainty associated with the estimation of the model order and parameters. In particular, by exploiting an independence property of the prediction error, we will introduce a bootstrap procedure that a...... hiện toàn bộ
Optimized adaptive prediction
Journal of the Italian Statistical Society - - 1997
Carlo Grillenzoni
Non parametric mixture priors based on an exponential random scheme
Journal of the Italian Statistical Society - Tập 11 - Trang 1-20 - 2002
Sonia Petrone, Piero Veronese
We propose a general procedure for constructing nonparametric priors for Bayesian inference. Under very general assumptions, the proposed prior selects absolutely continuous distribution functions, hence it can be useful with continuous data. We use the notion ofFeller-type approximation, with a random scheme based on the natural exponential family, in order to construct a large class of distribut...... hiện toàn bộ
Childcare and participation at work in North-East Italy: Why do Italian and foreign mothers behave differently?
Journal of the Italian Statistical Society - Tập 24 - Trang 339-358 - 2015
Anna Giraldo, Gianpiero Dalla-Zuanna, Enrico Rettore
This paper examines two of the decision-making processes following the birth of a child: whether a working mother should continue with her job, and whether the couple should provide the child with formal childcare. Focusing on Padova and its district, this paper discusses differences in the strategies used by Italian and foreign mothers, controlling for socio-economic status and opinions on women’...... hiện toàn bộ
A bivariate F distribution with marginals on arbitrary numerator and denominator degrees of freedom, and related bivariate beta and t distributions
Journal of the Italian Statistical Society - - 2009
A. H. El-Bassiouny, M. C. Jones
Asymptotics of the weighted least squares estimation for AR(1) processes with applications to confidence intervals
Journal of the Italian Statistical Society - Tập 27 Số 3 - Trang 479-490 - 2018
Ruidong Han, Xinghui Wang, Shuhe Hu
Nonparametric semi-supervised classification with application to signal detection in high energy physics
Journal of the Italian Statistical Society - Tập 31 - Trang 531-550 - 2021
Alessandro Casa, Giovanna Menardi
Model-independent searches in particle physics aim at completing our knowledge of the universe by looking for new possible particles not predicted by the current theories. Such particles, referred to as signal, are expected to behave as a deviation from the background, representing the known physics. Information available on the background can be incorporated in the search, in order to identify po...... hiện toàn bộ
Further results on orthogonal arrays for the estimation of global sensitivity indices based on alias matrix
Journal of the Italian Statistical Society - Tập 24 Số 3 - Trang 411-426 - 2015
Xueping Chen, Jin-Guan Lin, Xiaodi Wang, Xing-Fang Huang
Bahadur efficiency and local optimality of a test for the exponential distribution based on the gini statistic
Journal of the Italian Statistical Society - Tập 5 - Trang 163-175 - 1996
Ya. Yu. Nikitin, A. V. Tchirina
The sample scale-free Gini index is known to be a powerful test of exponentiality against a broad class of alternatives. To understand better the efficiency properties of this test we calculate its Bahadur efficiency for most commonly used parametric alternatives to the exponential distribution. Using variational arguments and the Bahadur-Raghavachari inequality for exact slopes we find the condit...... hiện toàn bộ
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions
Journal of the Italian Statistical Society - Tập 25 - Trang 227-249 - 2015
Shuangzhe Liu, Víctor Leiva, Tiefeng Ma, Alan Welsh
The local influence method has proven to be a useful and powerful tool for detecting influential observations on the estimation of model parameters. This method has been widely applied in different studies related to econometric and statistical modelling. We propose a methodology based on the Lagrange multiplier method with a linear penalty function to assess local influence in the possibly hetero...... hiện toàn bộ
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