46 citations · 64 across the 3 of their papers we have counts for
3 papers
stat.ME2015★ 14 cited
A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of -stable distributions
Eugenia Koblents, Joaquin Miguez, Marco A. Rodriguez +1
The class of -stable distributions enjoys multiple practical applications in signal processing, finance, biology and other areas because it allows to describe interesting and co…
stat.ME2014★ 4 cited
A comparison of nonlinear population Monte Carlo and particle Markov chain Monte Carlo algorithms for Bayesian inference in stochastic kinetic models
Eugenia Koblents, Joaquín Míguez
In this paper we address the problem of Monte Carlo approximation of posterior probability distributions in stochastic kinetic models (SKMs). SKMs are multivariate Markov jump proc…
stat.CO2012★ 46 cited
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
Eugenia Koblents, Joaquín Míguez
This paper addresses the problem of Monte Carlo approximation of posterior probability distributions. In particular, we have considered a recently proposed technique known as popul…