Marina Riabiz

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 11

Top Topics

State Space Model

Gaussian Convolution

Stochastic Process

Top Venues

IEEE Trans. Inf. Theory

Publications

Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. AISTATS (2021)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory 66 (8) (2020)
Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. CoRR (2020)
Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
The Lévy State Space Model. CoRR (2019)
Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
The Lévy State Space Model. ACSSC (2019)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR (2018)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT (2018)
Marina Riabiz, Simon J. Godsill
Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes. ICASSP (2017)
Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
Convergence results for tractable inference in α-stable stochastic processes. DSP (2017)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP (2017)
Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
A central limit theorem with application to inference in \(\alpha\)-stable regression models. NIPS Time Series Workshop (2016)
Tatjana Lemke, Marina Riabiz, Simon J. Godsill
Fully Bayesian inference for α-stable distributions using a Poisson series representation. Digit. Signal Process. 47 (2015)