Robust principal component analysis for functional data
N Locantore, JS Marron, DG Simpson, N Tripoli… - Test, 1999 - Springer
A method for exploring the structure of populations of complex objects, such as images, is
considered. The objects are summarized by feature vectors. The statistical backbone is …
considered. The objects are summarized by feature vectors. The statistical backbone is …
High breakdown estimators for principal components: the projection-pursuit approach revisited
C Croux, A Ruiz-Gazen - Journal of multivariate analysis, 2005 - Elsevier
Li and Chen (J. Amer. Statist. Assoc. 80 (1985) 759) proposed a method for principal
components using projection-pursuit techniques. In classical principal components one …
components using projection-pursuit techniques. In classical principal components one …
On one-step GM estimates and stability of inferences in linear regression
DG Simpson, D Ruppert, RJ Carroll - Journal of the American …, 1992 - Taylor & Francis
The folklore on one-step estimation is that it inherits the breakdown point of the preliminary
estimator and yet has the same large sample distribution as the fully iterated version as long …
estimator and yet has the same large sample distribution as the fully iterated version as long …
Privacy-preserving parametric inference: a case for robust statistics
M Avella-Medina - Journal of the American Statistical Association, 2021 - Taylor & Francis
Differential privacy is a cryptographically motivated approach to privacy that has become a
very active field of research over the last decade in theoretical computer science and …
very active field of research over the last decade in theoretical computer science and …
Circular data in political science and how to handle it
J Gill, D Hangartner - Political Analysis, 2010 - cambridge.org
There has been no attention to circular (purely cyclical) data in political science research.
We show that such data exist and are mishandled by models that do not take into account …
We show that such data exist and are mishandled by models that do not take into account …
Breakdown and groups
PL Davies, U Gather - 2005 - projecteuclid.org
The concept of breakdown point was introduced by Hampel [Ph. D. dissertation (1968), Univ.
California, Berkeley; Ann. Math. Statist. 42 (1971) 1887–1896] and developed further by …
California, Berkeley; Ann. Math. Statist. 42 (1971) 1887–1896] and developed further by …
Ordering directional data: concepts of data depth on circles and spheres
RY Liu, K Singh - The Annals of Statistics, 1992 - projecteuclid.org
Three notions of depth for directional data, angular simplicial depth (ASD), angular Tukey's
depth (ATD) and arc distance depth (ADD), are developed and studied. The empirical …
depth (ATD) and arc distance depth (ADD), are developed and studied. The empirical …
Optimal locally robust M-estimates of regression
First, we show that many robust estimates of regression which depend only on the
regression residuals (including M-, S-, Tau-, least median of squares-, least trimmed of …
regression residuals (including M-, S-, Tau-, least median of squares-, least trimmed of …
Testing circular symmetry
A Pewsey - Canadian Journal of Statistics, 2002 - Wiley Online Library
The author addresses the problem of testing circular data for reflective symmetry about an
unknown central direction and proposes a simple omnibus test based on the sample second …
unknown central direction and proposes a simple omnibus test based on the sample second …
Comprehensive definitions of breakdown points for independent and dependent observations
We provide a new definition of breakdown in finite samples, with an extension to asymptotic
breakdown. Previous definitions centre on defining a critical region for either the parameter …
breakdown. Previous definitions centre on defining a critical region for either the parameter …