Artikel dengan mandat akses publik - Joaquin MiguezPelajari lebih lanjut
Tidak tersedia di mana pun: 10
Adaptive importance sampling: The past, the present, and the future
MF Bugallo, V Elvira, L Martino, D Luengo, J Miguez, PM Djuric
IEEE Signal Processing Magazine 34 (4), 60-79, 2017
Mandat: US National Science Foundation, US Department of Defense, European …
On the performance of nonlinear importance samplers and population Monte Carlo schemes
J Míguez
2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
Mandat: US Department of Defense
Stability analysis and robust control of heart beat rate during treadmill exercise
MM Asheghan, J Míguez
Automatica 63, 311-320, 2016
Mandat: Government of Spain
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
Mandat: Government of Spain
A novel algorithm for adapting the number of particles in particle filtering
V Elvira, J Míguez, PM Djurić
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 1-5, 2016
Mandat: US National Science Foundation, Government of Spain
A Probabilistic Approach for Adaptive State-space Partitioning
J Vilà-Valls, P Closas, MF Bugallo, J Míguez
2018 IEEE Statistical Signal Processing Workshop (SSP), 248-252, 2018
Mandat: US National Science Foundation, Government of Spain
A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model
J Míguez, IP Mariño
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
Mandat: Government of Spain
Novel method for the Computation of In-Orbit Collision Probability by Multilevel Splitting and Surrogate Modelling
Y Sztamfater Garcia, M Sanjurjo Rivo, J Miguez, G Escribano
AIAA SCITECH 2024 Forum, 1813, 2024
Mandat: US Department of Defense, Government of Spain
Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo
J Míguez, L Lacasa, JA Martínez-Ordóñer, IP Mariño
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
Mandat: US Department of Defense, UK Engineering and Physical Sciences Research …
On the optimization of transportation routes with multiple destinations in random networks
CS Maíz, J Míguez
2011 IEEE Statistical Signal Processing Workshop (SSP), 349-352, 2011
Mandat: Government of Spain
Tersedia di suatu tempat: 61
Nested particle filters for online parameter estimation in discrete-time state-space Markov models
D Crisan, J Miguez
Mandat: US Department of Defense, UK Engineering and Physical Sciences Research …
Adapting the number of particles in sequential Monte Carlo methods through an online scheme for convergence assessment
V Elvira, J Míguez, PM Djurić
IEEE Transactions on Signal Processing 65 (7), 1781-1794, 2016
Mandat: US National Science Foundation, Government of Spain
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
Mandat: Government of Spain
A generalization of the adaptive rejection sampling algorithm
L Martino, J Míguez
Statistics and Computing 21, 633-647, 2011
Mandat: Government of Spain
Robust outer synchronization between two complex networks with fractional order dynamics
MM Asheghan, J Míguez, MT Hamidi-Beheshti, MS Tavazoei
Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (3), 2011
Mandat: Government of Spain
A particle filtering scheme for processing time series corrupted by outliers
CS Maiz, EM Molanes-Lopez, J Miguez, PM Djuric
IEEE Transactions on Signal Processing 60 (9), 4611-4627, 2012
Mandat: Government of Spain
On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization
J Míguez, D Crisan, PM Djurić
Statistics and Computing 23, 91-107, 2013
Mandat: Government of Spain
Particle-kernel estimation of the filter density in state-space models
D Crisan, J Míguez
Mandat: UK Engineering and Physical Sciences Research Council, Government of Spain
Nudging the particle filter
ÖD Akyildiz, J Míguez
Statistics and Computing 30, 305-330, 2020
Mandat: US Department of Defense, UK Engineering and Physical Sciences Research …
Convergence rates for optimised adaptive importance samplers
ÖD Akyildiz, J Míguez
Statistics and Computing 31, 1-17, 2021
Mandat: US Department of Defense, UK Engineering and Physical Sciences Research …
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