Advances in Complex Data Modeling and Computational Methods by Anna Maria Paganoni, Piercesare Secchi

By Anna Maria Paganoni, Piercesare Secchi

The ebook is addressed to statisticians operating on the vanguard of the statistical research of advanced and excessive dimensional information and gives a large choice of statistical versions, laptop extensive equipment and purposes: community inference from the research of excessive dimensional info; new advancements for bootstrapping advanced facts; regression research for measuring the downsize reputational hazard; statistical tools for examine at the human genome dynamics; inference in non-euclidean settings and for form information; Bayesian equipment for reliability and the research of advanced information; methodological matters in utilizing administrative info for medical and epidemiological learn; regression versions with differential regularization; geostatistical tools for mobility research via cell phone facts exploration. This quantity is the results of a cautious choice one of the contributions provided on the convention "S.Co.2013: advanced info modeling and computationally extensive equipment for estimation and prediction" held on the Politecnico di Milano, 2013. the entire papers released right here were conscientiously peer-reviewed.

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A few works dealing with the quantitative assessment of reputational risk are settled in the financial sector (banks and insurance companies) and examine reputational impacts associated to operational losses [4,7,12–17]. The Basel framework defines operational losses as the “loss resulting from inadequate or failed internal Table 1 Prior research on quantitative assessment of reputational risk Authors Strachan et al. [22] Davidson and Worrell [23] Skantz et al. [24] Karpoff and Lott [25] Hamilton [30] Long and Rao [26] Lanoie and Laplante [32] Reichert et al.

Perturbate the extracted units’ inclusion probabilities by adding to half of them (randomly chosen) a fixed term ı while subtracting it from the remaining half. 0; 1/; moreover, P k2U Q k D n D k2U k . , the Euclidean distance) calculated between the vector of the original k and the vector of the perturbated Q k ; any such distance will be increasing in p. The population values fxk ; k D 1; : : : ; N g of the auxiliary variable are then re-computed on the basis of the perturbed inclusion probabilities Q k in order to retain the population total X .

This data set is a public archive, that was provided by the company itself. 2 Event Study Methodology This section presents the approach adopted to analyze the share market reaction to each one of the 67 events previously identified. Our approach relies on the concept of abnormal return and the basic idea of our approach is to look—in proximity of each event—at the percentage variation of the share market value from the dynamics it would have had in the days after the event if the event had not happened.

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