Segui
Marcelo Pereyra
Titolo
Citata da
Citata da
Anno
Bayesian computation: a summary of the current state, and samples backwards and forwards
PJ Green, K Łatuszyński, M Pereyra, CP Robert
Statistics and Computing 25 (4), 835-862, 2015
1802015
Efficient bayesian computation by proximal markov chain monte carlo: when langevin meets moreau
A Durmus, E Moulines, M Pereyra
SIAM Journal on Imaging Sciences 11 (1), 473-506, 2018
1522018
Proximal markov chain monte carlo algorithms
M Pereyra
Statistics and Computing 26 (4), 745-760, 2016
1502016
A survey of stochastic simulation and optimization methods in signal processing
M Pereyra, P Schniter, E Chouzenoux, JC Pesquet, JY Tourneret, ...
IEEE Journal of Selected Topics in Signal Processing 10 (2), 224-241, 2015
1382015
Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithm
M Pereyra, N Dobigeon, H Batatia, JY Tourneret
IEEE Transactions on Image Processing 22 (6), 2385-2397, 2013
1042013
Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture model
M Pereyra, N Dobigeon, H Batatia, JY Tourneret
IEEE transactions on medical imaging 31 (8), 1509-1520, 2012
812012
Maximum-a-posteriori estimation with unknown regularisation parameters
M Pereyra, JM Bioucas-Dias, MAT Figueiredo
2015 23rd European Signal Processing Conference (EUSIPCO), 230-234, 2015
652015
Maximum-a-posteriori estimation with Bayesian confidence regions
M Pereyra
SIAM Journal on Imaging Sciences 10 (1), 285-302, 2017
582017
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo
N Brosse, A Durmus, ╔ Moulines, M Pereyra
Conference on learning theory, 319-342, 2017
532017
Uncertainty quantification for radio interferometric imaging–I. Proximal MCMC methods
X Cai, M Pereyra, JD McEwen
Monthly Notices of the Royal Astronomical Society 480 (3), 4154-4169, 2018
512018
Fast unsupervised bayesian image segmentation with adaptive spatial regularisation
M Pereyra, S McLaughlin
IEEE Transactions on Image Processing 26 (6), 2577-2587, 2017
472017
Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization
A Repetti, M Pereyra, Y Wiaux
SIAM Journal on Imaging Sciences 12 (1), 87-118, 2019
442019
Collaborative sparse regression using spatially correlated supports-application to hyperspectral unmixing
Y Altmann, M Pereyra, J Bioucas-Dias
IEEE Transactions on Image Processing 24 (12), 5800-5811, 2015
432015
Modeling ultrasound echoes in skin tissues using symmetric α-stable processes
M Pereyra, H Batatia
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59á…, 2012
432012
Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis
Y Altmann, M Pereyra, S McLaughlin
IEEE Transactions on Computational Imaging 1 (3), 174-185, 2015
392015
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
M Pereyra, N Whiteley, C Andrieu, JY Tourneret
2014 IEEE Workshop on Statistical Signal Processing (SSP), 121-124, 2014
352014
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
X Cai, M Pereyra, JD McEwen
Monthly Notices of the Royal Astronomical Society 480 (3), 4170-4182, 2018
282018
Maximum likelihood estimation of regularization parameters in high-dimensional inverse problems: An empirical bayesian approach part i: Methodology and experiments
AF Vidal, V De Bortoli, M Pereyra, A Durmus
SIAM Journal on Imaging Sciences 13 (4), 1945-1989, 2020
262020
Fast statistical model-based classification of epileptic EEG signals
A Quintero-Rincˇn, M Pereyra, C d’Giano, M Risk, H Batatia
Biocybernetics and Biomedical Engineering 38 (4), 877-889, 2018
262018
A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals
A Quintero-Rincˇn, M Pereyra, C D’Giano, H Batatia, M Risk
Journal of Physics: Conference Series 705 (1), 012032, 2016
232016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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