Bienvenue sur le site Open access de l'Université Paris Nanterre

L'université Paris Nanterre s'engage en faveur de l'Open Access

Par Open Access, on entend le libre accès aux résultats de la recherche, diffusés sous forme électronique et en ligne gratuitement. Ce mouvement existe au niveau mondial depuis la fin des années 90 et s'est concrétisé par des appels adressés à la communauté des chercheurs en faveur du partage des connaissances (Budapest, 2002 ; Berlin, 2003).

L'université Paris Nanterre favorise l'Open Access par le biais d'un portail HAL (Hyper Articles en Ligne), principale archive ouverte en France maintenue par le CNRS, qui rassemble les publications des chercheurs affiliés à l'établissement. 

D'autres initiatives de Paris Nanterre contribuent au développement du Libre Accès, comme la participation des Presses Universitaires au projet OpenEdition Books, la diffusion de plusieurs revues en Open Access sur Revues.org, l'ouverture de carnets de recherche sur la plateforme Hypothèses par des chercheurs ou encore le projet Open Data de l'université.

Retrouvez sur ce site l'ensemble des informations disponibles sur l'open access à l'Université Paris Nanterre: renseignements pratiques, événements, tutoriels, ressources en ligne etc.
 

Les derniers documents en texte intégral déposés sur notre portail HAL


  • [hal-01888650] Iterative Marginal Maximum Likelihood DOD and DOA Estimation for MIMO Radar in the Presence of SIRP Clutter
    15 novembre 2018
    The spherically invariant random process (SIRP) clutter model is commonly used in scenarios where the radar clutter cannot be correctly modeled as a Gaussian process. In this short communication, we devise a novel Maximum-Likelihood (ML)-based iterative estimator for direction-of-departure and direction-of-arrival estimation in the Multiple-input multiple-output (MIMO) radar context in the presence of SIRP clutter. The proposed estimator employs a stepwise numerical concentration approach w.r.t. the objective function related to the marginal likelihood of the observation data. Our estimator leads to superior performance, as our simulations show, w.r.t. to the existing likelihood based methods, namely, the conventional, the conditional and the joint likelihood based estimators, and w.r.t. the robust subspace decomposition based methods. Finally, interconnections and comparison between the Iterative Marginal ML Estimator (IMMLE), Iterative Joint ML Estimator (IJMLE) and Iterative Conditional ML Estimator (ICdMLE) are provided.
  • [hal-00914222] Adam Smith on lotteries: an interpretation and formal restatement
    1 septembre 2018
    The few pages that Adam Smith devoted to lotteries, mainly in the Wealth of Nations (1776) did not receive much attention. They nonetheless constituted an opportunity to introduce a sophisticated analysis of individual decision under risk. Through various examples, Smith pointed out a risk-seeking attitude, figured out in the paper in terms of inverse stochastic dominance. However, it is well-known that a contradiction occurs between such an attitude and the principle of an asymmetric sensitivity to favorable and unfavorable events, expressed by a concave function, introduced in the Theory of Moral Sentiments (1759). We argue that an appropriate solution to this difficulty should rest on Smith's emphasis on a universal tendency to overestimate the chance of gain, which leads to favor a rank-dependent utility approach within which optimism toward risk can compensate asymmetric sensibility in order to produce some kind of risk-seeking. The question raised by the coexistence of various attitudes toward risk illustrated by the figures of the entrepreneur (typically, the "projector" and the "sober man") gives rise to an extensive analysis, which aims at explaining, on moral grounds, how an initial attitude of risk-seeking can generate prudence before being transformed into risk-aversion.

Mis à jour le 13 novembre 2018