20102020

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2020

Sparse Bayesian mass mapping with uncertainties: Local credible intervals

Price, M. A., Cai, X., McEwen, J. D., Pereyra, M. & Kitching, T. D., Feb 2020, In : Monthly Notices of the Royal Astronomical Society. 492, 1, p. 394-404 11 p.

Research output: Contribution to journalArticle

Open Access
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2019

Revisiting Maximum-A-Posteriori Estimation in Log-Concave Models

Pereyra, M., 28 Mar 2019, In : SIAM Journal on Imaging Sciences . 12, 1, p. 650-670 21 p.

Research output: Contribution to journalArticle

Open Access
File
23 Downloads (Pure)
Open Access
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21 Downloads (Pure)
2018

Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

Durmus, A., Moulines, E. & Pereyra, M., 13 Feb 2018, In : SIAM Journal on Imaging Sciences . 11, 1, p. 473-506 34 p.

Research output: Contribution to journalArticle

Open Access
File
92 Downloads (Pure)

Fast statistical model-based classification of epileptic EEG signals

Quintero-Rincón, A., Pereyra, M., D'Giano, C., Risk, M. & Batatia, H., 2018, In : Biocybernetics and Biomedical Engineering. 38, 4, p. 877-889 13 p.

Research output: Contribution to journalArticle

Open Access
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Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

Cai, X., Pereyra, M. A. & McEwen, J. D., 27 Jul 2018, In : Monthly Notices of the Royal Astronomical Society. 480, 3, p. 4154–4169 16 p.

Research output: Contribution to journalArticle

Open Access
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12 Downloads (Pure)

Uncertainty quantification for radio interferometric imaging: II. MAP estimation

Cai, X., Pereyra, M. A. & McEwen, J. D., Nov 2018, In : Monthly Notices of the Royal Astronomical Society. 480, 3, p. 4170–4182 13 p.

Research output: Contribution to journalArticle

Open Access
File
14 Downloads (Pure)
2017
Open Access
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48 Downloads (Pure)

Maximum-a-posteriori estimation with Bayesian confidence regions

Pereyra, M., 2 Mar 2017, In : SIAM Journal on Imaging Sciences . 10, 1, p. 285-302 18 p.

Research output: Contribution to journalArticle

Open Access

Stroke onset time determination using MRI relaxation times without non-ischaemic reference in a rat stroke model

Norton, T., Pereyra, M. A., Knight, M. J., Mcgarry, B. M., Jokivarsi, K. T., Grohn, O. H. J. & Kauppinen, R. A., 20 Jun 2017, In : Biomedical Spectroscopy and Imaging. 6, 1-2, p. 25-35 11 p.

Research output: Contribution to journalArticle

Open Access
File
9 Downloads (Pure)
2016

A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals

Quintero-Rincón, A., Pereyra, M., D’Giano, C., Batatia, H. & Risk, M., Apr 2016, In : Journal of Physics: Conference Series. 705, conference 1, 012032.

Research output: Contribution to journalArticle

Open Access
File
49 Downloads (Pure)

Proximal Markov chain Monte Carlo algorithms

Pereyra, M., Jul 2016, In : Statistics and Computing. 26, 4, p. 745-760 16 p.

Research output: Contribution to journalArticle

Open Access
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18 Downloads (Pure)
2015

A survey of stochastic simulation and optimization methods in signal processing

Pereyra, M., Schniter, P., Chouzenoux, E., Pesquet, J-C., Tourneret, J-Y., Hero, A. & McLaughlin, S., 2 Nov 2015, In : IEEE Journal of Selected Topics in Signal Processing. 10, 2, p. 224-241 18 p.

Research output: Contribution to journalArticle

Open Access
File
131 Downloads (Pure)

Bayesian computation: A summary of the current state, and samples backwards and forwards

Green, P. J., Łatuszynski, K., Pereyra, M. & Robert, C., Jul 2015, In : Statistics and Computing. 25, 4, p. 835-862 28 p.

Research output: Contribution to journalArticle

Open Access
File
12 Downloads (Pure)
File
21 Downloads (Pure)

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing

Altmann, Y., Pereyra, M. & Bioucas-Dias, J., Dec 2015, In : IEEE Transactions on Image Processing. 24, 12, p. 5800-5811 12 p.

Research output: Contribution to journalArticle

Open Access
File
51 Downloads (Pure)

Exploiting information geometry to improve the convergence of nonparametric active contours

Pereyra, M., Batatia, H. & McLaughlin, S., Mar 2015, In : IEEE Transactions on Image Processing. 24, 3, p. 836-845 10 p., 6990574.

Research output: Contribution to journalArticle

Open Access
File
275 Downloads (Pure)
2014

Computing the Cramer-Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models

Pereyra, M., Dobigeon, N., Batatia, H. & Tourneret, J-Y., Jan 2014, In : IEEE Signal Processing Letters. 21, 1, p. 47-50 4 p.

Research output: Contribution to journalArticle

Discussion on the Paper by Byrne and Girolami

Pereyra, M., Mar 2014, In : Scandinavian Journal of Statistics. 41, 1, p. 12-13 2 p.

Research output: Contribution to journalArticle

2013

Estimating the Granularity Coefficient of a Potts-Markov Random Field within a Markov Chain Monte Carlo Algorithm

Pereyra, M., Dobigeon, N., Batatia, H. & Tourneret, J-Y., Jun 2013, In : IEEE Transactions on Image Processing. 22, 6, p. 2385-2397 13 p.

Research output: Contribution to journalArticle

2012

Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture model

Pereyra, M. A., Dobigeon, N., Batatia, H. & Tourneret, J-Y., Aug 2012, In : IEEE Transactions on Medical Imaging. 31, 8, p. 1509-1520 12 p.

Research output: Contribution to journalArticle