Testing Hypotheses in the Functional Linear Model

The functional linear model with scalar response is a regression model where the predictor is a random function defined on some compact set of R and the response is scalar. The response is modelled as Y =Ψ( X )+ ɛ , where Ψ is some linear continuous operator defined on the space of square integrable functions and valued in R . The random input X is independent from the noise ɛ . In this paper, we are interested in testing the null hypothesis of no effect, that is, the nullity of Ψ restricted to the Hilbert space generated by the random variable X . We introduce two test statistics based on the norm of the empirical cross-covariance operator of ( X , Y ). The first test statistic relies on a χ ² approximation and we show the asymptotic normality of the second one under appropriate conditions on the covariance operator of X . The test procedures can be applied to check a given relationship between X and Y . The method is illustrated through a simulation study.     

Modeling Human Interindividual Variability in Metabolism and Risk: The Example of 4-Aminobiphenyl

We investigate, through modeling, the impact of interindividual heterogeneity in the metabolism of 4-aminobiphenyl (ABP) and in physiological factors on human cancer risk: A physiological pharmacokinetic model was used to quantify the time course of the formation of the proximate carcinogen, N-hydroxy-4-ABP and the DNA-binding of the active species in the bladder. The metabolic and physiologic model parameters were randomly varied, via Monte Carlo simulations, to reproduce interindividual variability. The sampling means for most parameters were scaled from values developed by Kadlubar et al. (Cancer Res., 51 : 4371, 1991) for dogs; variances were obtained primarily from published human data (e.g., measurements of ABP N-oxidation, and arylamine N-acetylation in human liver tissue). In 500 simulations, theoretically representing 500 humans, DNA-adduct levels in the bladder of the most susceptible individuals are ten thousand times higher than for the least susceptible, and the 5th and 95th percentiles differ by a factor of 160. DNA binding for the most susceptible individual (with low urine pH, low N-acetylation and high N-oxidation activities) is theoretically one million-fold higher than for the least susceptible (with high urine pH, high N-acetylation and low N-oxidation activities). The simulations also suggest that the four factors contributing most significantly to interindividual differences in DNA-binding of ABP in human bladder are urine pH, ABP N-oxidation, ABP N-acetylation and urination frequency.     

The Nature of Culture. Towards a Realist Phenomenology of Material, Animal and Human Nature

In an ironic rejoinder to the postmodern politics of nature, I will adopt an anthropological perspective on culture, which is conspicuous by its absence in the latest wave of science studies, and reformulate the distinction between nature and culture as a reflexive distinction within culture that emerges with modernity. In order to countering the hypertextualism of the (de)constructivists, I will next sketch out a realist theory of nature. Combining the transcendental realism of Roy Bhaskar with the transcendental phenomenology of Edmund Husserl, I will then try to outline the contours of a realist phenomenology of the ontological regions of physical, animal and human nature. Resuming my anthropological considerations on culture, I will finish the article with a progressive account of how the opposition between regional ontologies and regional typologies could be overcome.     

A Sociology of Human Rights: Rights through a Social Movements Lens

Cet article propose un cadre théorique pour développer une sociologie des droits humains en s'intéressant aux mouvements sociaux dans le but de comprendre les cultures de droits locales. Si le droit humain est une idée qui se développe historiquement principalement à travers l'État, on remarque qu'au Canada, les avancées des droits de l'homme sont le fait de militants travaillant sur le terrain. Dans cet article, on explore aussi les écrits en sociologie au Canada. Les auteurs argumentent qu'on observe un sérieux manque d'engagement de la part des sociologues anglophones et francophones au Canada et que trop peu d'entres eux proposent de réelles études nationales. Évidemment, l'accès restreint à l'information législative représente un obstacle sérieux à la recherche académique au Canada. This article offers a framework for developing a sociology of human rights using social movements to understand local rights cultures. The idea of human rights has historically been highly statist, but grass‐roots activism has been at the heart of the most profound human rights advances in Canada. The article also raises questions about the current state of sociological writing about Canada. The author contends that there is a serious lack of engagement among English and French sociologists, and too few scholars provide genuine “national” studies. Moreover, restrictive access to information legislation represents a serious obstacle to academic research in Canada.     

The Favorite-Longshot Bias in Sequential Parimutuel Betting with Non-Expected Utility Players

This paper analyzes a model of sequential parimutuel betting described as a two-horse race with a finite number of noise bettors and a finite number of strategic and symmetrically informed bettors. For generic objective probabilities that the favorite wins the race, a unique subgame perfect equilibrium is characterized. Additionally, two explanations for the favorite–longshot bias—according to which favorites win more often than the market's estimate of their winning chances imply—are offered. It is shown that this robust anomalous empirical regularity might be due to the presence of transaction costs and/or to strategic bettors' subjective attitude to probabilities.     

Le corps en jeu : les conditions sociales de l’arrêt de travail des footballeurs professionnels

Underlaid by a long-term case study in a professional football club, this analysis of the social conditions that led these players to temporarily stop work when their physical integrity was impaired focuses on relations within the work group. It describes how this process fits into the framework of social relations between various categories of workers who adjust individually and collectively to occupational requirements. While inquiring into the conditions of bringing players physically into play, it focuses on the practices of members of the medical staff whose position within the group is awkward.     

Business ethics,company value and ownership structure

This paper examines the effect of ethical performance on the value of a company and the attractiveness of its stocks for major owners; institutional investors and insiders. Using the Ethisphere^® Institute Ethics Quotient to distinguish between ethical and unethical companies, results show that good ethical performance enhanced company value for a sample of 240 large US companies. Furthermore, strong evidence is found that institutional investors are attracted to ethical companies, but that insiders do not show any investment preferences based on the ethical performance of a company.

     

Goodness‐of‐Fit Test for Monotone Functions

Abstract. In this article, we develop a test for the null hypothesis that a real‐valued function belongs to a given parametric set against the non‐parametric alternative that it is monotone, say decreasing. The method is described in a general model that covers the monotone density model, the monotone regression and the right‐censoring model with monotone hazard rate. The criterion for testing is an ‐distance between a Grenander‐type non‐parametric estimator and a parametric estimator computed under the null hypothesis. A normalized version of this distance is shown to have an asymptotic normal distribution under the null, whence a test can be developed. Moreover, a bootstrap procedure is shown to be consistent to calibrate the test.     

The Dantzig Selector in Cox's Proportional Hazards Model

Abstract. The Dantzig selector (DS) is a recent approach of estimation in high‐dimensional linear regression models with a large number of explanatory variables and a relatively small number of observations. As in the least absolute shrinkage and selection operator (LASSO), this approach sets certain regression coefficients exactly to zero, thus performing variable selection. However, such a framework, contrary to the LASSO, has never been used in regression models for survival data with censoring. A key motivation of this article is to study the estimation problem for Cox's proportional hazards (PH) function regression models using a framework that extends the theory, the computational advantages and the optimal asymptotic rate properties of the DS to the class of Cox's PH under appropriate sparsity scenarios. We perform a detailed simulation study to compare our approach with other methods and illustrate it on a well‐known microarray gene expression data set for predicting survival from gene expressions.     

Rate of uniform consistency for nonparametric estimates with functional variables

In this paper we investigate nonparametric estimation of some functionals of the conditional distribution of a scalar response variable Y given a random variable X taking values in a semi-metric space. These functionals include the regression function, the conditional cumulative distribution, the conditional density and some other ones. The literature on nonparametric functional statistics is only concerning pointwise consistency results, and our main aim is to prove the uniform almost complete convergence (with rate) of the kernel estimators of these nonparametric models. Unlike in standard multivariate cases, the gap between pointwise and uniform results is not immediate. So, suitable topological considerations are needed, implying changes in the rates of convergence which are quantified by entropy considerations. These theoretical uniform consistency results are (or will be) key tools for many further developments in functional data analysis.