Model validation is the scientific exercise that consists of assessing whether a model of some underlying system is (\it good enough.) Good enough for what? Well, that is precisely the point. The assessment of the quality of a model cannot be decoupled from the purpose for which the model is to be used. And just as the research on system identification has, in the last 10 years, focused on issu...

In this paper we introduce robust techniques for inference and model selection in the analysis of longitudinal data. Robust versions of quasi-likelihood functions are obtained by building upon a set of robust estimating equations where robustness is achieved by weighting the classical estimating equations. The robust quasi-likelihood functions are then used to construct a class of test statisti...

There are many methods to localize its position based on visual sensing schemes in indoor environment. This paper presents the problem of finding the correspondences of images feature’s descriptors when the images have large rotation. SIFT and SURF have always been considered as very effective algorithms to extract interest points and their orientation and descriptors. For descriptors, one of b...

In this paper we introduce and develop robust versions of quasilikelihood functions for model selection via an analysis-of-deviance type of procedure in generalized linear models and longitudinal data analysis. These robust functions are built upon natural classes of robust estimators and can be seen as weighted versions of their classical counterparts. The asymptotic theory of these test stati...

We extend Buja’s concept of “pseudo-capacities”, which comprises the neighbourhood models for classical probabilities commonly used in robust statistics. Although systematically developing various directions for generalizing that model, we especially show that robust statistics can be freed from the severe restriction to 2-monotone capacities by employing the more natural framework of coherent ...

Knowledge of the uncertainty in an identified model is of great importance, in particular for robust controller design. This paper presents a method for estimating the uncertainty in a state-space helicopter dynamical model identified from the subspace-based method using bootstrap techniques. Computer simulations are carried out to illustrate the operation and performance of the method using co...

Orthogonal frequency-division multiplexing (OFDM) modulation is a promising technique for achieving the high bit rates required for a wireless multimedia service. Without channel estimation and tracking, OFDM systems have to use differential phase-shift keying (DPSK), which has a 3-dB signalto-noise ratio (SNR) loss compared with coherent phase-shift keying (PSK). To improve the performance of ...