42 citations · 93 across the 15 of their papers we have counts for
16 papers
ICS for complex data with application to outlier detection for density data
Camille Mondon, Huong Thi Trinh, Anne Ruiz-Gazen +1
Invariant coordinate selection (ICS) is a dimension reduction method, used as a preliminary step for clustering and outlier detection. It has been primarily applied to multivariate…
Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two groups
Colombe Becquart, Aurore Archimbaud, Anne Ruiz-Gazen +2
Invariant Coordinate Selection (ICS) is a multivariate technique that relies on the simultaneous diagonalization of two scatter matrices. It serves various purposes, including its…
Edgewise outliers of network indexed signals
Christopher Rieser, Anne Ruiz-Gazen, Christine Thomas-Agnan
We consider models for network indexed multivariate data involving a dependence between variables as well as across graph nodes. In the framework of these models, we focus on outli…
Tandem clustering with invariant coordinate selection
Andreas Alfons, Aurore Archimbaud, Klaus Nordhausen +1
For multivariate data, tandem clustering is a well-known technique aiming to improve cluster identification through initial dimension reduction. Nevertheless, the usual approach us…
S-estimation in Linear Models with Structured Covariance Matrices
Hendrik Paul Lopuhaä, Valerie Gares, Anne Ruiz-Gazen
We provide a unified approach to S-estimation in balanced linear models with structured covariance matrices. Of main interest are S-estimators for linear mixed effects models, but…
Numerical considerations and a new implementation for ICS
Aurore Archimbaud, Zlatko Drmač, Klaus Nordhausen +2
Invariant Coordinate Selection (ICS) is a multivariate data transformation and a dimension reduction method that can be useful in many different contexts. It can be used for outlie…
Spatial Blind Source Separation
François Bachoc, Marc G. Genton, Klaus Nordhausen +2
Recently a blind source separation model was suggested for spatial data together with an estimator based on the simultaneous diagonalisation of two scatter matrices. The asymptotic…
REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit
Daniel Fischer, Alain Berro, Klaus Nordhausen +1
The R-package REPPlab is designed to explore multivariate data sets using one-dimensional unsupervised projection pursuit. It is useful in practice as a preprocessing step to find…
ICS for Multivariate Outlier Detection with Application to Quality Control
Aurore Archimbaud, Klaus Nordhausen, Anne Ruiz-Gazen
In high reliability standards fields such as automotive, avionics or aerospace, the detection of anomalies is crucial. An efficient methodology for automatically detecting multivar…
A comparison of pivotal sampling and unequal probability sampling with replacement
Guillaume Chauvet, Anne Ruiz-Gazen
We prove that any implementation of pivotal sampling is more efficient than multinomial sampling. This property entails the weak consistency of the Horvitz-Thompson estimator and t…
Estimation under cross-classified sampling with application to a childhood survey
Hélène Juillard, Guillaume Chauvet, Anne Ruiz-Gazen
The cross-classified sampling design consists in drawing samples from a two-dimension population, independently in each dimension. Such design is commonly used in consumer price in…
Functional central limit theorems for single-stage samplings designs
Hélène Boistard, Hendrik P. Lopuhaä, Anne Ruiz-Gazen
For a joint model-based and design-based inference, we establish functional central limit theorems for the Horvitz-Thompson empirical process and the Hájek empirical process center…
Improving the estimation of the odds-ratio using auxiliary information
C. Goga, A Ruiz-Gazen
The odds ratio measure is used in health and social surveys where the odds of a certain event is to be compared between two populations. It is defined using logistic regression, an…
Averaging orthogonal projectors
Eero Liski, Klaus Nordhausen, Hannu Oja +1
Dimensionality is a major concern in analyzing large data sets. Some well known dimension reduction methods are for example principal component analysis (PCA), invariant coordinate…
Approximation of rejective sampling inclusion probabilities and application to high order correlations
Hélène Boistard, Hendrik P. Lopuhaä, Anne Ruiz-Gazen
This paper is devoted to rejective sampling. We provide an expansion of joint inclusion probabilities of any order in terms of the inclusion probabilities of order one, extending p…
Efficient Estimation of Nonlinear Finite Population Parameters Using Nonparametrics
Camelia Goga, Anne Ruiz-Gazen
Currently, the high-precision estimation of nonlinear parameters such as Gini indices, low-income proportions or other measures of inequality is particularly crucial. In the presen…