This paper is based on a lecture given in the LACONEU summer school, Valparaiso, January 2012. We introduce Gibbs distribution in a general setting, including non stationary dynamics, and present then three examples of such Gibbs distributions, in the context of neural networks spike train statistics: (i) maximum entropy model with spatio-temporal constraints; (ii) generalized linear models; an...

it is a well-known result in both environmental economics and natural resources managementthat you will not be able to manage what you are not able to measure. this paper presents a dichotomous-choicecontingent valuation survey that analyses individuals’ preferences for the implementation of a rural developmentprogram (rdp) that fosters the provision of non-commodity outputs in rural areas in s...

Discrete Bayesian nonparametric models whose expectation is a convex linear combination of point mass at some the support and diffuse probability distribution allow to incorporate strong prior information, while still being extremely flexible. Recent contributions in statistical literature have successfully implemented such modelling strategy variety applications, including density estimation, ...

Spike-timing dependent plasticity (STDP) is a widespread plasticity mechanism in the nervous system. The simplest description of STDP only takes into account pairs of pre- and postsynaptic spikes, with potentiation of the synapse when a presynaptic spike precedes a postsynaptic spike and depression otherwise. In light of experiments that explored a variety of spike patterns, the pair-based STDP...