Pérez Mariño, Inés ines.perez@urjc.es
Publications
- Articles 38
- Books 0
- Book chapters 2
- Conferences 13
- Working papers 0
- Technical reports 0
- Research projects 0
- Supervised theses 0
- Patent or software license 0
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
Parameter Estimation Methods for Chaotic Intercellular Networks
- Marino, Ines P.
- Ullner, Ekkehard
- Zaikin, Alexey;
Plos One - 25/11/2013
10.1371/journal.pone.0079892 View at source
- ISSN 19326203
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
Channel coding in communications using chaos
- Marino, IP
- Lopez, L
- Sanjuan, MAF;
Physics Letters a (p. 185-191) - 25/3/2002
10.1016/s0375-9601(02)00146-9 View at source
- ISSN 03759601
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
Monte Carlo method for adaptively estimating the unknown parameters and the dynamic state of chaotic systems
- Marino, Ines P.
- Miguez, Joaquin
- Meucci, Riccardo;
Physical Review e - 1/5/2009
10.1103/physreve.79.056218 View at source
- ISSN 1063651X
Coupling scheme for complete synchronization of periodically forced chaotic CO2 lasers
- Marino, IP
- Allaria, E
- Sanjuan, MAF
- Meucci, R
- Arecchi, FT;
Physical Review e (p. 036208-1-036208-8) - 1/9/2004
10.1103/physreve.70.036208 View at source
- ISSN 1063651X
Phase control of intermittency in dynamical systems
- Zambrano, Samuel
- Marino, Ines P.
- Salvadori, Francesco
- Meucci, Riccardo
- Sanjuan, Miguel A. F.
- Arecchi, F. T.;
Physical Review e - 1/7/2006
10.1103/physreve.74.016202 View at source
- ISSN 1063651X
Monte Carlo method for multiparameter estimation in coupled chaotic systems
- Marino, Ines P.
- Miguez, Joaquin;
Physical Review e - 1/11/2007
10.1103/physreve.76.057203 View at source
- ISSN 1063651X
Synchronization waves in arrays of driven chaotic systems
- Lorenzo, MN
- Marino, IP
- PerezMunuzuri, V
- Matias, MA
- PerezVillar, V;
Physical Review e (p. R3094-R3097) - 1/10/1996
10.1103/physreve.54.r3094 View at source
- ISSN 1063651X
This researcher has no books.
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
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
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
Adaptive noisy importance sampling for stochastic optimization
- Deniz Akyildiz, Omer
- Marino, Ines P.
- Miguez, Joaquin;
2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) (p. 1-5) - 1/1/2018
10.1109/camsap.2017.8313215 View at source
- iMarina
- iMarina
A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model
- Miguez, J
- Marino, IP
2015 IEEE 6TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) (p. 497-500) - 1/1/2015
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.
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