La maggior parte dei lavori sulla taratura statistica univariata e multivariata propongono contributi in ambito parametrico inquadrato in un contesto statistico classico o bayesiano. Oltre alla presenza dei problemi tipici dell'approccio parametrico (scelta della legge distribuzionale, del...

The paper discusses the problem of a fallible auditor who assesses the values of sampled records, but may make mistakes. To detect these mistakes, a subsample of the checked elements is checked again, now by an infallible expert. We propose a model for this kind of double check, which takes into...

This work presents a theoretical and empirical evaluation of the Anderson-Darling test when the sample size is limited. The test can be applied in order to back-test the risk factor dynamics in the context of counterparty credit risk modelling. We show the limits of this test when back-testing...

The generalization of simple (two-variable) correspondence analysis to more than two categorical variables, commonly referred to as multiple correspondence analysis, is neither obvious nor well-defined. We present two alternative ways of generalizing correspondence analysis, one based on the...

We develop a method for interpreting specific predictions made by (global) predictive models by constructing (local) models tailored to each specific observation (these are also called "explanations" in the literature). Unlike existing work that "explains'' specific observations by approximating...

This paper analyses how borrower liquidity constraints and home equity relate to the realized loss given default (LGD) using the quarterly U.S. residential mortgage loan-level data observed from Q2 2005 to Q1 2015. We define defaulted loans with zero-LGD as cure loans and those with non-zero LGD...

Correspondence analysis has found extensive use in the social and environmental sciences as a method for visualizing the patterns of association in a table of frequencies. Inherent to the method is the expression of the frequencies in each row or each column relative to their respective totals,...

We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order correction term is obtained from studying the estimator of the Gini index within a measurement error framework. In addition, it reveals an intuitive formula for the remaining...

Many multivariate methods that are apparently distinct can be linked by introducing one or more parameters in their definition. Methods that can be linked in this way are correspondence analysis, unweighted or weighted logratio analysis (the latter also known as quot;spectral mappingquot;),...

Power transformations of positive data tables, prior to applying the correspondence analysis algorithm, are shown to open up a family of methods with direct connections to the analysis of log-ratios. Two variations of this idea are illustrated. The first approach is simply to power the original...