The theory of belief functions assesses evidence by fitting it to a scale of canonical examples in which the meaning of a message depends on chance. In order to analyse parametric statistical problems within the framework of this theory, we must specify the evidence on which the parametric model is based. This article gives several examples to show how the nature of this evidence affects the an...

We propose a simple stochastic model for an author’s production/citation process in order to investigate the recently proposed hindex for measuring an author’s research output and its impact. The parametric model distinguishes between an author’s publication process and the subsequent citation processes of the published papers. This allows us to investigate different scenarios such as varying t...

This paper deals with the identification of treatment effects when the outcome variable is ordered. If outcomes are measured ordinally, previously developed methods to investigate the impact of an endogenous binary regressor on average outcomes cannot be applied as the expectation of an ordered variable, in its strict sense, does not exist, and a shift in focus to distributional effects is indi...

Sharp non-parametric bounds on the winner’s curse effects (the difference between the mean value and the mean value conditional on winning) are derived for sealed-bid auctions with affiliated values. Both firstand second-price formats are considered. In addition, sharp bounds are derived on the competitive effect, the difference between the mean value conditional on winning and the mean bid. Al...

The identification of human basic actions plays an important role for recognizing human activities in complex scene. In this paper we propose an approach for automatic human action recognition. The parametric model of human is extracted from image sequences using motion/texture based human detection and tracking. Action features from its model are carefully defined into the action interaction r...

The research proposes a hydrological model to forecast recessive flows and it estimates depletion coefficient for the "Jequetepeque" river, water from top of "Gallito Ciego",Contumazá, Peru. Recessive were used third break point flow hydrograph "Yonán" station period 1988-2019. An exponential category (ALVI) was used. Ranges coefficients 0.0148 < α 0.0003 day-1, calibration 0.005 day-1were i...

The minimum size of the bootstrap algorithm input parameters have been determined for estimation long-term indicators road traffic noise. Two independent simulation experiments performed that purpose. first experiment served to determine impact original random sample size, and second number replications on accuracy uncertainty noise indicators. inference has carried out based results non-parame...

This paper focuses on predictability of sovereign debt crisis proposing a twostep procedure centered on the idea of a multidimensional distance-to-collapse point. The first step is non-parametric and devoted to construct a generalized early warning system that signals a potential crisis every time a group of indicators exceeds specific thresholds. The second is parametric and tries to contextua...