Prof. Anna-Clara Monti (Università degli Studi del Sannio) Robust Inference for Ordinal Response Model
samedi 02 jui 2016
Elvezio Ronchetti 60th birthday workshop
1Opening
14:38
2Prof. Anna-Clara Monti (Università degli Studi del Sannio)55:07
3Prof. Roy Welsch (MIT)48:40
4Prof. Alastair Young (Imperial College) 01:02:13
5Prof. Yanyuan Ma (University of South Carolina)49:45
6Prof. Alan Welsh (Australian National University)01:01:19
7Prof. Loriano Mancini (Swiss Federal Institute of Technology)56:20
8Closing11:26
Ordinal response models are commonly used to describe how opinions, judgments, evaluations,
preferences, and so forth, depend on subjects’ covariates. Since the support of the response variable
is discrete and finite, it is often assumed that classical estimation and testing techniques are not
affected by deviations from the stochastic assumptions. Nevertheless, outlying covariates as well as
anomalous responses can strongly affect the reliability of likelihood based inferential procedures.
Consequently alternative robust estimators and tests are proposed, and their properties
investigated. Furthermore intrinsic robustness features of the link functions are also considered.