These are comments on the invited paper “The power of monitoring: How to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony Atkinson and Aldo Corbellini.Spanish Ministerio de Economía y Competitividad, grant MTM2017-86061-C2-1-P, and by Consejería de Educación de la Junta de Castilla y León and FEDER, grant VA005P17 and VA002G18
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
Depending on the selected hyper-parameters, cluster weighted modeling may produce a set of diverse ...
In this comment on the discussion paper The power of monitoring: how to make the most of a contamina...
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. In this comment on the discussion pap...
Diagnostic tools must rely on robust high-breakdown methodologies to avoid distortion in the presenc...
Monitoring the properties of single sample robust analyses of multivariate data as a function of bre...
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust moni...
We complement the work of Cerioli, Riani, Atkinson and Corbellini by discussing monitoring in the c...
L'objectif de cette thèse est d'explorer plusieurs approches pour l'étude des données censurées mult...
El autor realiza dos observaciones acerca del artículo "Robust estimation of multivariate location a...
This thesis investigates three research problems which arise in multivariate data and censored regre...
We propose a new class of models for variable clustering called Asymptotic Independent block (AI-blo...
We propose a simulation study to emphasise the difference between Variation of Information and Binde...
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
Depending on the selected hyper-parameters, cluster weighted modeling may produce a set of diverse ...
In this comment on the discussion paper The power of monitoring: how to make the most of a contamina...
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. In this comment on the discussion pap...
Diagnostic tools must rely on robust high-breakdown methodologies to avoid distortion in the presenc...
Monitoring the properties of single sample robust analyses of multivariate data as a function of bre...
This paper discusses the contribution of Cerioli et al. (Stat Methods Appl, 2018), where robust moni...
We complement the work of Cerioli, Riani, Atkinson and Corbellini by discussing monitoring in the c...
L'objectif de cette thèse est d'explorer plusieurs approches pour l'étude des données censurées mult...
El autor realiza dos observaciones acerca del artículo "Robust estimation of multivariate location a...
This thesis investigates three research problems which arise in multivariate data and censored regre...
We propose a new class of models for variable clustering called Asymptotic Independent block (AI-blo...
We propose a simulation study to emphasise the difference between Variation of Information and Binde...
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
The two main topics of this article are the introduction of the “optimally tuned robust improper max...
Depending on the selected hyper-parameters, cluster weighted modeling may produce a set of diverse ...