全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Fabrizio Durante , Roberta Pappadà , Nicola Torelli
来源:[J].Advances in Data Analysis and Classification(IF 1.382), 2014, Vol.8 (4), pp.359-376Springer
摘要:Abstract(#br)A methodology is presented for clustering financial time series according to the association in the tail of their distribution. The procedure is based on the calculation of suitable pairwise conditional Spearman’s correlation coefficients extracted from the seri...
作者:Giovanna Menardi , Nicola Torelli
来源:[J].Data Mining and Knowledge Discovery(IF 2.877), 2014, Vol.28 (1), pp.92-122Springer
摘要:Abstract(#br)The problem of modeling binary responses by using cross-sectional data has been addressed with a number of satisfying solutions that draw on both parametric and nonparametric methods. However, there exist many real situations where one of the two responses (usua...
作者:Nicola Torelli , Elisa Biancotto ...
来源:[J].European Journal of Epidemiology(IF 5.118), 2016, Vol.31 (4), pp.385-393Springer
摘要:Abstract(#br)The synergistic effect of tobacco smoking and alcohol consumption on the risk of head and neck cancers has been mainly investigated as a cross-product of categorical exposure, thus leading to loss of information. We propose a bi-dimensional logistic spline model...
作者:Fabrizio Durante , Roberta Pappadà , Nicola Torelli
来源:[J].Statistical Papers(IF 0.683), 2015, Vol.56 (3), pp.701-721Springer
摘要:Abstract(#br)We present a procedure for clustering time series according to their tail dependence behaviour as measured via a suitable copula-based tail coefficient, estimated in a non-parametric way. Simulation results about the proposed methodology together with an application ...
作者:Giovanna Menardi , Nicola Torelli
来源:[J].Journal of Statistical Computation and Simulation(IF 0.629), 2013, Vol.83 (11), pp.2047-2063Taylor & Francis
摘要:Clustering high-dimensional data is often a challenging task both because of the computational burden required to run any technique, and because the difficulty in interpreting clusters generally increases with the data dimension. In this work, a method for finding low-dimensional...
作者:Adelchi Azzalini , Nicola Torelli
来源:[J].Statistics and Computing(IF 1.977), 2007, Vol.17 (1), pp.71-80Springer
摘要:Abstract(#br)Although Hartigan (1975) had already put forward the idea of connecting identification of subpopulations with regions with high density of the underlying probability distribution, the actual development of methods for cluster analysis has largely shifted towards othe...
作者:Adriano Paggiaro , Nicola Torelli
来源:[J].Statistical Methods & Applications(IF 0.351), 2004, Vol.13 (2), pp.213-225Springer
摘要:Abstract.(#br)Survival data analysis aims at collecting data on durations spent in a state by a sample of units, in order to analyse the process of transition to a different state. Survival analysis applied to social and economic phenomena typically relies upon data on transition...
作者:Matilde Trevisani , Nicola Torelli
来源:[J].Open Journal of Statistics, 2017, Vol.07 (03), pp.521-550Scientific Research Publishing
摘要:Small area estimation (SAE) tackles the problem of providing reliable estimates for small areas, i.e. , subsets of the population for which sample information is not sufficient to warrant the use of a direct estimator. Hierarchical Bayesian approach to SAE problems offers several...

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