A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models E Koblents, J Míguez Statistics and Computing 25 (2), 407-425, 2015 | 92 | 2015 |

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions E Koblents, J Míguez, MA Rodríguez, AM Schmidt Computational Statistics & Data Analysis 95, 57-74, 2016 | 21 | 2016 |

Robust mixture populationmonte Carlo scheme with adaptation of the number of components E Koblents, J Míguez 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 8 | 2013 |

A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models E Koblents, J Míguez 2011 19th European Signal Processing Conference, 679-683, 2011 | 6 | 2011 |

A comparison of nonlinear population Monte Carlo and particle Markov Chain Monte Carlo algorithms for Bayesian inference in stochastic kinetic models E Koblents, J Míguez arXiv preprint arXiv:1404.5218, 2014 | 5 | 2014 |

A population monte carlo scheme for computational inference in high dimensional spaces E Koblents, J Míguez 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 5 | 2013 |

Bayesian computation methods for inference in stochastic kinetic models E Koblents, IP Mariño, J Míguez Complexity 2019, 1-15, 2019 | 2 | 2019 |

Particle filtering with transformed weights J Míguez, E Koblents 2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013 | 2 | 2013 |

This is a postprint version of the following published document E Koblents, J Míguez, MA Rodríguez, A Schmidtd Computational Statistics & Data Analysis 95, 57-74, 2016 | | 2016 |

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of alpha-stable distributions E Koblents Lápteva, J Míguez Arenas, MA Rodríguez, AM Schmidt Elsevier, 2016 | | 2016 |

A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models E Koblents Lápteva, J Míguez Arenas Springer, 2015 | | 2015 |

Nonlinear population Monte Carlo methods for bayesian inference E Koblents Lápteva | | 2015 |

A comparison of nonlinear population Monte Carlo and particle Markov chain Monte Carlo algorithms for Bayesian inference in stochastic kinetic models E Koblents Lápteva, J Míguez Arenas Cornell University, 2014 | | 2014 |

Importance sampling with transformed weights E Koblents, J Míguez | | 2012 |