By relying on survey-data from the CSES (Comparative Study of Electoral Systems) project, we run a number of simulated scenarios assuming that parties are interested in vote-maximizing, and we compute for each election the distribution of party ideological positions that corresponds to a Nash...

A one dimensional diffusion process $X=\{X_t, 0\leq t \leq T\}$ is observed only when its path lies over some threshold $\tau$. On the basis of the observable part of the trajectory, the problem is to estimate finite dimensional parameter in both drift and diffusion coefficient under a discrete...

In this paper we describe some applications of the Random Recursive Partitioning (RRP) method. This method generates a proximity matrix which can be used in non parametric hot-deck missing data imputation, classification, prediction, average treatment effect estimation and, more generally, in...

A new matching method is proposed for the estimation of the average treatment effect of social policy interventions (e.g., training programs or health care measures). Given an outcome variable, a treatment and a set of pre-treatment covariates, the method is based on the examination of random...

A problem of hypothesis testing is considered for a model of diffusion process with diffusion coefficient tending to zero. A simple hypothesis and a semiparametric alternative are formulated in the terms of the values of some functional of nonperturbed trajectory of the dynamical system. The...

The aim of this paper is to show a simple way to construct a symptotic minimax lower bounds for risks based on different types of quadratic loss functions in semiparametric inference problems. For the sake of clarity, we consider the simple case of the state estimation of a dynamical system with...

We consider a problem of estimation for the telegrapher's process on the line, say X(t), driven by a Poisson process with non constant rate. It turns out that the finite-dimensional law of the process X(t) is a solution to the telegraph equation with non constant coefficients. We give the...

The Bioconductor project is an initiative for the collaborative creation of the extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into...