Normalité asymptotique d'estimateurs convergents du mode conditionnel

We state sufficient conditions for asymptotic normality of convergent estimates of the conditional mode, irrespective of data dependence, and give an application to α-mixing stationary processes.     

CONTROL: the extractive ecology of corn monoculture

This article tells the history of the industrial and biotechnological development of large-scale corn agriculture, from a new materialist perspective. Addressing the large-scale economy of industrial food production as a form of more-than-human configuration, it demonstrates how corn has been made into a quintessential commodity and factor of production for a consumption-based economy. Set within discourses around the climate crisis, this account critically assesses the Anthropocene and its advocacy for human accountability in regards to the exploitation of nonhuman matters. I ask: who is the Anthropos? How does it/he/she meet with its domesticated subjects, or rather makes them into domesticable materials? Telling the history of corn monoculture from a new materialist standpoint exposes this industry’s distribution of agency, power and control across a diversity of human and nonhuman actors. This is at the centre of this article’s three sections: (1) an argument for inscribing extractivism within new materialist literature, (2) an account of the industrialization of corn monoculture, exposing the industry’s main mechanisms and economic endeavours, as well as its ramifications with a biopolitics of invasion and (3) the biotechnological development of the industry and its shifts from a biopolitics of vegetal matter to an informational extractivism and a necropolitics of killable life. Thus I argue that if the industry of corn monoculture belongs to a broader network of detrimental industries characteristic of the Anthropocene, the geological Anthropos is not to be understood as synonymous with the human species, but as a very restrictive ecology of humans and nonhumans, including corporate, industrial, technoscientific and extractive actors. As such, the article emphasizes the moral necessity of rupturing with the narrative of the Anthropocene, a discourse better suited for supporting existing mechanisms of domination and exploitation constitutive of the economy of climate change.     

Parameter selection in modified histogram estimates

A multivariate modified histogram density estimate depending on a reference density g and a partition P has been proved to have good consistency properties according to several information theoretic criteria. Given an i.i.d. sample, we show how to select automatically both g and P so that the expected L ₁ error of the corresponding selected estimate is within a given constant multiple of the best possible error plus an additive term which tends to zero under mild assumptions. Our method is inspired by the combinatorial tools developed by Devroye and Lugosi [Devroye, L. and Lugosi, G., 2001, Combinatorial Methods in Density Estimation (New York, NY: Springer–Verlag)] and it includes a wide range of reference density and partition models. Results of simulations are also presented.     

On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection

Wavelet thresholding of spectra has to be handled with care when the spectra are the predictors of a regression problem. Indeed, a blind thresholding of the signal followed by a regression method often leads to deteriorated predictions. The scope of this article is to show that sparse regression methods, applied in the wavelet domain, perform an automatic thresholding: the most relevant wavelet coefficients are selected to optimize the prediction of a given target of interest. This approach can be seen as a joint thresholding designed for a predictive purpose. The method is illustrated on a real world problem where metabolomic data are linked to poison ingestion. This example proves the usefulness of wavelet expansion and the good behavior of sparse and regularized methods. A comparison study is performed between the two-steps approach (wavelet thresholding and regression) and the one-step approach (selection of wavelet coefficients with a sparse regression). The comparison includes two types of wavelet bases, various thresholding methods, and various regression methods and is evaluated by calculating prediction performances. Information about the location of the most important features on the spectra was also obtained and used to identify the most relevant metabolites involved in the mice poisoning.     

Inequality decomposition values: the trade-off between marginality and efficiency

This paper presents a general procedure for decomposing income inequality measures by income sources. The methods of decomposition proposed are based on the Shapley value and extensions of the Shapley value of transferable utility cooperative games. In particular, we find that Owen’s value can find an interesting application in this context.We show that the axiomatization by the potential of Hart and Mas-Colell remains valid in the presence of the domain restriction of inequality indices. We also examine the properties of these decomposition rules and perform a comparison with Shorrocks’ decomposition rule properties.     

The mediating role of work-to-family conflict in the relationship between shiftwork and depression

Abstract

With significant segments of the working population involved in shiftwork, there is the possibility of serious health outcomes. There are two possible pathways to ill health. In the biological pathway the body's circadian rhythms are affected, leading to physiological disturbances and the inability to cope. By contrast, the aim of this study is to elucidate a social pathway by which shiftwork may lead to mental ill health. It examines the mediating influence of work-to-family conflict in the association between shiftwork and depression. Gender differences are also investigated. The sample included 2,931 Canadian respondents with a spouse and at least one child living at home. Close to 28% of respondents were involved in some form of shiftwork. Structural equation modelling supported partial mediation through work-to-family conflict. Further analyses found that mediation was supported in sub-samples of male and female respondents. The results, however, suggest that the experience of shiftwork is quite similar for men and women as no significant differences were found between mediating models. Overall, the findings support the social explanation of the effect of shiftwork on mental health, but they do not rule out other social or biological pathways.     

Sharing beliefs and the absence of betting in the Choquet expected utility model

Choquet expected utility maximizers tend to behave in a more “cautious” way than Bayesian agents, i. e. expected utility maximizers. We illustrate this phenomenon in the particular case of betting behavior. Specifically, consider agents who are Choquet expected utility maximizers. Then, if the economy is large, Pareto optimal allocations provide full insurance if and only if the agents share at least on prior, i. e., if the intersection of the core of the capacities representing their beliefs is non empty. In the expected utility case, this is true only if they have a common prior. Received: July 2000; revised version: May 2001     

Social Protection: Values to be Defended!

Social protection is a part of human rights. I therefore believe it is important to react to the many reproaches levelled at it, which are undermining its legitimacy. This involves defending social protection, first and foremost in the name of its mission, its fundamental objectives and, consequently, the values upon which it is founded. After briefly reviewing the content of these values, I emphasize the fact that they should be promoted and cultivated at least as much as the economic values that are dominant in the world today.