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Pérez Mariño, Inés ines.perez@urjc.es

Biología y Geología, Física y Química Inorgánica / Universidad Rey Juan Carlos

Publications

A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks

  • Marino, Ines P.
  • Zaikin, Alexey
  • Miguez, Joaquin;

PLoS One - 10/8/2017

10.1371/journal.pone.0182015 View at source

  • ISSN 1932-6203
Open Access

A probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems

  • Perez-Vieites, Sara
  • Marino, Ines P.
  • Miguez, Joaquin;

ArXiv.org (p. 1-39) - 5/8/2017

10.1103/physreve.98.063305 View at source

  • ISSN 1063651X

A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer

  • Vazquez, Manuel A.
  • Marino, Ines P.
  • Blyuss, Oleg
  • Ryan, Andy
  • Gentry-Maharaj, Aleksandra
  • Kalsi, Jatinderpal
  • Manchandada, Ranjit
  • Jacobs, Ian
  • Menon, Usha
  • Zaikin, Alexey;
... View more Collapse

Biomedical Signal Processing and Control (p. 86-93) - 1/9/2018

10.1016%2fj.bspc.2018.07.001 View at source

  • EISSN 1746-8108
  • ISSN 1746-8094

Adaptive approximation method for joint parameter estimation and identical synchronization of chaotic systems

  • Marino, IP
  • Miguez, J;

Physical Review e - 1/11/2005

10.1103/physreve.72.057202 View at source

  • ISSN 1063651X
Open Access

An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals

  • Vazquez, Manuel A.
  • Maghsoudi, Arash
  • Marino, Ines P.;

Frontiers in Systems Neuroscience (p. 1-11) - 28/5/2021

https://doi.org/10.3389/fnsys.2021.652662 View at source

  • ISSN 16625137

An approximate gradient-descent method for joint parameter estimation and synchronization of coupled chaotic systems

  • Marino, IP
  • Miguez, J;

Physics Letters a (p. 262-267) - 6/3/2006

10.1016/j.physleta.2005.11.005 View at source

  • ISSN 03759601
Open Access

Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models

  • Miguez, Joaquin
  • Marino, Ines P.
  • Vazquez, Manuel A.;

SIGNAL PROCESSING (p. 281-291) - 1/1/2018

10.1016/j.sigpro.2017.07.030 View at source

  • EISSN 1872-7557
  • ISSN 01651684

Basin boundary metamorphoses and phase control

  • Seoane, J. M.
  • Zambrano, S.
  • Marino, I. P.
  • Sanjuan, M. A. F.;

Epl - 1/5/2010

10.1209/0295-5075/90/30002 View at source

  • ISSN 02955075

Bayesian Computation Methods for Inference in Stochastic Kinetic Models

  • Koblents, Eugenia
  • Marino, Ines P.
  • Miguez, Joaquin;

Complexity - 20/1/2019

10.1155/2019/7160934 View at source

  • ISSN 10762787

Change-point of multiple biomarkers in women with ovarian cancer

  • Marino, Ines P.
  • Blyuss, Oleg
  • Ryan, Andy
  • Gentry-Maharaj, Aleksandra
  • Timms, John F.
  • Dawnay, Anne
  • Kalsi, Jatinderpal
  • Jacobs, Ian
  • Menon, Usha
  • Zaikin, Alexey;
... View more Collapse

Biomedical Signal Processing And Control (p. 169-177) - 1/3/2017

10.1016/j.bspc.2016.11.015 View at source

  • ISSN 17468094

This researcher has no books.

A predictive control approach for the generation and reconstruction of information-bearing chaotic signals

  • Inés Pérez Mariño
  • Epaminondas Jr Rosa
  • Celso Grebogi

Fith Baiona Workshop On Emerging Technologies In Telecommunications: Based On The Proceedings Of A Conference Organized By The University Of Vigo, Held At Baiona In September 1999 (p. 129-133) - 1/1/1999

  • iMarina

Phase Control in Nonlinear Systems

  • Zambrano S
  • Seoane JM
  • Marino IP
  • Sanjuán MAF
  • Meucci R

Recent Progress In Controlling Chaos (p. 147-187) - 1/1/2010

10.1142/9789814291705_0006 View at source

MULTILAYER MODELS OF RANDOM SEQUENCES: REPRESENTABILITY AND INFERENCE VIA NONLINEAR POPULATION MONTE CARLO

  • Miguez, J
  • Lacasa, L
  • Martinez-Ordonez, JA
  • Marino, IP

2019 IEEE 8TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2019) (p. 629-633) - 1/1/2019

10.1109/camsap45676.2019.9022529 View at source

PARTICLE FILTERING FOR BAYESIAN PARAMETER ESTIMATION IN A HIGH DIMENSIONAL STATE SPACE MODEL

  • Miguez J
  • Crisan D
  • Marino IP

28th European Signal Processing Conference (Eusipco 2020) (p. 1241-1245) - 1/1/2015

10.1109/eusipco.2015.7362582 View at source

  • ISSN 20761465

Reconstruction of information-bearing chaotic signals in additive white Gaussian noise: Performance analysis and evaluation

  • Marino, IP
  • Grebogi, C
  • Rosa, E;

International Journal Of Bifurcation And Chaos (p. 2631-2635) - 1/10/2001

10.1142/s021812740100367x View at source

  • ISSN 02181274

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 8/12/23 3:00 AM