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Marina Riabiz
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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
692020
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
562022
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
56*2020
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
312021
Postprocessing of MCMC
LF South, M Riabiz, O Teymur, CJ Oates
Annual Review of Statistics and Its Application 9 (1), 529-555, 2022
262022
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
222015
The Lévy State Space Model
S Godsill, M Riabiz, I Kontoyiannis
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 487-494, 2019
112019
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
102017
Nonasymptotic Gaussian Approximation for Inference with Stable Noise
M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
IEEE Transactions on Information Theory, 2020
82020
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
62017
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
52021
Pseudo-marginal MCMC for parameter estimation in α-stable distributions
M Riabiz, F Lindsten, S Godsill
IFAC-PapersOnLine 48 (28), 472-477, 2015
52015
Simulated convergence rates with application to an intractable -stable inference problem
M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
7th IEEE workshop on Computational Advances in Multi-Sensor Adaptive …, 2017
42017
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
32017
Sharp Gaussian Approximation Bounds for Linear Systems with -stable Noise
M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
2018 IEEE International Symposium on Information Theory (ISIT), 1086-1090, 2018
22018
On Latent Variable Models for Bayesian Inference with Stable Distributions and Processes
M Riabiz
12019
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
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Articles 1–19