Creation and application of virtual patient cohorts of heart models SA Niederer, Y Aboelkassem, CD Cantwell, C Corrado, S Coveney, ...
Philosophical Transactions of the Royal Society A 378 (2173), 20190558, 2020
82 2020 Considering discrepancy when calibrating a mechanistic electrophysiology model RD Wilkinson, K Worden, J Walmsley, RW Dos Santos, M Riabiz, ...
Philosophical transactions. Series A, Mathematical, physical, and …, 2020
60 * 2020 Optimal thinning of MCMC output M Riabiz, W Chen, J Cockayne, P Swietach, SA Niederer, L Mackey, ...
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
57 2022 Postprocessing of MCMC LF South, M Riabiz, O Teymur, CJ Oates
Annual Review of Statistics and Its Application 9 (1), 529-555, 2022
32 2022 Optimal quantisation of probability measures using maximum mean discrepancy O Teymur, J Gorham, M Riabiz, C Oates
International Conference on Artificial Intelligence and Statistics, 1027-1035, 2021
31 2021 Fully Bayesian inference for α-stable distributions using a Poisson series representation T Lemke, M Riabiz, SJ Godsill
Digital Signal Processing 47, 96-115, 2015
24 2015 The Lévy State Space Model S Godsill, M Riabiz, I Kontoyiannis
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 487-494, 2019
14 2019 Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes M Riabiz, SJ Godsill
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
10 2017 Nonasymptotic Gaussian Approximation for Inference with Stable Noise M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
IEEE Transactions on Information Theory, 2020
9 2020 A central limit theorem with application to inference in α-stable regression models M Riabiz, T Ardeshiri, S Godsill
NIPS 2016 Time Series Workshop, 70-82, 2017
6 2017 Replication Data for: Optimal Thinning of MCMC Output, 2020b M Riabiz, WY Chen, J Cockayne, P Swietach, SA Niederer, L Mackey, ...
URL https://doi. org/10.7910/DVN/MDKNWM. Accessed on Mar 23, 21, 2021
5 2021 Pseudo-marginal MCMC for parameter estimation in α-stable distributions M Riabiz, F Lindsten, S Godsill
IFAC-PapersOnLine 48 (28), 472-477, 2015
5 2015 Convergence results for tractable inference in α-stable stochastic processes M Riabiz, T Ardeshiri, S Godsill
2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
4 2017 Simulated convergence rates with application to an intractable M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
7th IEEE workshop on Computational Advances in Multi-Sensor Adaptive …, 2017
4 2017 On Latent Variable Models for Bayesian Inference with Stable Distributions and Processes M Riabiz
2 2019 Sharp Gaussian Approximation Bounds for Linear Systems with M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
2018 IEEE International Symposium on Information Theory (ISIT), 1086-1090, 2018
2 2018 Kernel Methods in Machine Learning and Statistics N Nüsken, M Riabiz
2023 Novel developments in inferring variability and co-variability of calcium signalling M Riabiz, J Cockayne, A Luo, C Oates, P Swietach, S Niederer
Journal of Molecular and Cellular Cardiology 173, S148-S149, 2022
2022 Data driven Sobolev metrics for functional data analysis: an application to natural fibers M RIABIZ
Politecnico di Milano, 2012
2012 
Simon GodsillUniversity of CambridgeCorreu electrònic verificat a eng.cam.ac.uk