activity
20172024
collaborators

6 papers

math.ST2024

Eigenvalues approximation of integral covariance operators with applications to weighted statistics

Bruno Ebner, María Dolores Jiménez-Gamero, Bojana Milošević

Finding the eigenvalues connected to the covariance operator of a centred Hilbert-space valued Gaussian process is genuinely considered a hard problem in several mathematical disci…

stat.ME2023

Goodness--of--Fit Tests Based on the Min--Characteristic Function

S. G. Meintanis, B. Milošević, M. D. Jiménez-Gamero

We propose tests of fit for classes of distributions that include the Weibull, the Pareto and the Fréchet, distributions. The new tests employ the novel tool of the min--characteri…

stat.ME2022

A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families

Feifei Chen, M. Dolores Jiménez-Gamero, Simos Meintanis +1

A general and relatively simple method for construction of multivariate goodness-of-fit tests is introduced. The proposed test is applied to elliptical distributions. The method is…

math.ST2019

A test for Gaussianity in Hilbert spaces via the empirical characteristic functional

Norbert Henze, M. Dolores Jiménez--Gamero

Let be independent and identically distributed random elements taking values in a separable Hilbert space . With applications for functional data in m…

stat.ME2018

A model specification test for the variance function in nonparametric regression

Juan Carlos Pardo-Fernandez, M. Dolores Jimenez-Gamero

The problem of testing for the parametric form of the conditional variance is considered in a fully nonparametric regression model. A test statistic based on a weighted -dista…

math.ST2017

A new class of tests for multinormality with i.i.d. and Garch data based on the empirical moment generating function

Norbert Henze, María Dolores Jiménez-Gamero

We generalize a recent class of tests for univariate normality that are based on the empirical moment generating function to the multivariate setting, thus obtaining a class of aff…