Fully Bayesian inference for α-stable distributions using a Poisson series representation. - Tatjana Lemke; Marina Riabiz; Simon J. Godsill (Digit. Signal Process., 2015)

A central limit theorem with application to inference in ( alpha )-stable regression models. - Marina Riabiz; Tohid Ardeshiri; Simon J. Godsill (NIPS Time Series Workshop, 2016)

Simulated convergence rates with application to an intractable α-stable inference problem. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (CAMSAP, 2017)

Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes. - Marina Riabiz; Simon J. Godsill (ICASSP, 2017)

Convergence results for tractable inference in α-stable stochastic processes. - Marina Riabiz; Tohid Ardeshiri; Simon J. Godsill (DSP, 2017)

Sharp Gaussian Approximation Bounds for Linear Systems with $ alpha$ -stable Noise. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (ISIT, 2018)

Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (CoRR, 2018)

The Lévy State Space Model. - Simon J. Godsill; Marina Riabiz; Ioannis Kontoyiannis (ACSSC, 2019)

Nonasymptotic Gaussian Approximation for Inference With Stable Noise. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (IEEE Trans. Inf. Theory, 2020)

Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. - Onur Teymur; Jackson Gorham; Marina Riabiz; Chris J. Oates (AISTATS, 2021)