Eugenia Koblents

A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models

Joaquín Míguez, Eugenia Koblents, J. Míguez, 2011, 2011 19th European Signal Processing Conference.

A population Monte Carlo scheme for computational inference in high dimensional spaces

Joaquín Míguez, Eugenia Koblents, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Particle filtering with transformed weights

Joaquín Míguez, Eugenia Koblents, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models

Joaquín Míguez, Eugenia Koblents, J. Míguez, 2012, Stat. Comput..

Robust mixture populationmonte Carlo scheme with adaptation of the number of components

Joaquín Míguez, Eugenia Koblents, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Bayesian Computation Methods for Inference in Stochastic Kinetic Models

Joaquín Míguez, Inés P. Mariño, Eugenia Koblents, 2019, Complex..

A Framework for Large-Scale Analysis of Video \"in the Wild\" to Assist Digital Forensic Examination

Petros Daras, Volker Eiselein, Antonio Penta, 2019, IEEE Security & Privacy.

Video Summarization with LSTM and Deep Attention Models

Eugenia Koblents, Luis Lebron Casas, E. Koblents, 2018, MMM.

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions

Joaquín Míguez, Alexandra M. Schmidt, Eugenia Koblents, 2016, Comput. Stat. Data Anal..

A comparison of nonlinear population Monte Carlo and particle Markov chain Monte Carlo algorithms for Bayesian inference in stochastic kinetic models

Eugenia Koblents, Joaqu'in M'iguez, 2014 .