In this paper we are interested by an analytical approach to identify chaotic systems when there is noise. We precise the estimators we can use to identify a chaos. We show the behaviour of these estimators in presence of noise. We make simulations to illustrate the approach we consider all...

Let X1,X2,...Xn be i.i.d. N-dimensional random variables having an unknown support of probability density denoted G; we suppose that G belongs to a functional class "g" of compact sets with smooth upper surface called boundary fragments. The problem consists in testing the hypotheses G=Go...

This review paper aims at presenting the various convergence diagnostics available in the literature in a cohesive and conceptually consecutive manner. To this effect, we attempt classification according to several filters, as well as a description of a twin Web site, which aims at keeping track...

In January 2005 the EU-wide CO2 emissions trading system (EU-ETS) has formally entered into operation. Within the new trading system, the right to emit a particular amount of CO2 becomes a tradable commodity - called EU Allowances (EUAs) - and affected companies, traders and investors will face...

Partial least squares-based path modeling with latent variables is a methodology that allows to estimate complex cause-effect relationships using empirical data. The assumption that the data is collected from a single homogeneous population is often unrealistic. Identification of different...

Carbon terrestrial sinks are seen as a low-cost alternative to fuel switching and reduced fossil fuel use for lowering atmospheric CO2. In this study, we review issues related to the use of terrestrial forestry activities to create CO2 offset credits. To gain a deeper understanding of the...

Food security is a complex and multi-dimensional phenomenon. As such, its measurement may entail and benefit from the combination of both “qualitative-subjective” and “quantitative-objective” indicators. Yet, the evidence on the external validity of subjective-type information is scarce,...

Causal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis's possible-world semantics, and reformulates the statistical potential outcome framework and its underlying assumptions using counterfactual...

Analyses of long run consumption series are rare in literature. We study the evolution of water consumption in Milan in the twentieth century. The objective is twofold: on one side, the univariate analysis tries both to assess the impact of relevant socio-economic and environmental changes on...