Transition to Chaotic phase Synchronization through Random phase jumps. - Diego Pazó; Inés P. Mariño; V. Pérez-Villar; Vicente Pérez-Muñuzuri (Int. J. Bifurc. Chaos, 2000)

Reconstruction of Information-bearing Chaotic signals in additive white Gaussian noise: Performance Analysis and Evaluation. - Inés P. Mariño; Celso Grebogi; Epaminondas Rosa Jr. (Int. J. Bifurc. Chaos, 2001)

A novel channel coding scheme based on continuous-time chaotic dynamics. - Inés P. Mariño; Luis López; Joaquín Míguez; Miguel A. F. Sanjuán (DSP, 2002)

Adaptive Procedure for the Parameter Estimation of a Model of a Co2 Chaotic Laser. - Inés P. Mariño; Samuel Zambrano; Miguel A. F. Sanjuán; F. Salvadori; Riccardo Meucci; Fortunato Tito Arecchi (Int. J. Bifurc. Chaos, 2007)

A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model. - Joaquín Míguez; Inés P. Mariño (CAMSAP, 2015)

Particle filtering for Bayesian parameter estimation in a high dimensional state space model. - Joaquín Míguez; Dan Crisan; Inés P. Mariño (EUSIPCO, 2015)

Adaptive noisy importance sampling for stochastic optimization. - Ömer Deniz Akyildiz; Inés P. Mariño; Joaquín Míguez (CAMSAP, 2017)

Change-point of multiple biomarkers in women with ovarian cancer. - Inés P. Mariño; Oleg Blyuss; Andy Ryan; Aleksandra Gentry-Maharaj; John F. Timms; Anne Dawnay; Jatinderpal Kalsi; Ian Jacobs; Usha Menon; Alexey Zaikin (Biomed. Signal Process. Control., 2017)

A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer. - Manuel A. Vázquez; Inés P. Mariño; Oleg Blyuss; Andy Ryan; Aleksandra Gentry-Maharaj; Jatinderpal Kalsi; Ranjit Manchanda; Ian J. Jacobs; Usha Menon; Alexey Zaikin (Biomed. Signal Process. Control., 2018)

Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models. - Joaquín Míguez; Inés P. Mariño; Manuel A. Vázquez (Signal Process., 2018)

Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo. - Joaquín Míguez; Lucas Lacasa; José A. Martínez-Ordóñer; Inés P. Mariño (CAMSAP, 2019)

Bayesian Computation Methods for Inference in Stochastic Kinetic Models. - Eugenia Koblents; Inés P. Mariño; Joaquín Míguez (Complex., 2019)

A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions. - Joaquín Míguez; Harold Y. Molina-Bulla; Inés P. Mariño (CAMSAP, 2023)