Results for stat.CO

Publications & Outputs

1. PDMP Monte Carlo methods for piecewise-smooth densities

   Chevallier, A., Power, S., Wang, A. Q. & Fearnhead, P., 7/11/2024, In: Advances in Applied Probability. 56, 4, p. 1153-1194 42 p.

   Research output: Contribution to Journal/Magazine › Journal article

2. Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry

   Pishchagina, L., Romano, G., Fearnhead, P., Runge, V. & Rigaill, G., 2/11/2023, Arxiv.

   Research output: Working paper › Preprint

3. Reversible Jump PDMP Samplers for Variable Selection

   Chevallier, A., Fearnhead, P. & Sutton, M., 31/07/2023, In: Journal of the American Statistical Association. 118, 544, p. 2915-2927

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise

   Romano, G., Rigaill, G., Runge, V. & Fearnhead, P., 31/12/2022, In: Journal of the American Statistical Association. 117, 540, p. 2147-2162

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

   Vyner, C., Nemeth, C. & Sherlock, C., 8/08/2022.

   Research output: Working paper › Preprint

6. A Comparison of Single and Multiple Changepoint Techniques for Time Series Data

   Shi, X., Gallagher, C., Lund, R. & Killick, R., 30/06/2022, In: Computational Statistics and Data Analysis. 170, 19 p., 107433.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

7. Modelling Populations of Interaction Networks via Distance Metrics

   Bolt, G., Lunagómez, S. & Nemeth, C., 20/06/2022.

   Research output: Working paper › Preprint

8. Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes

   Chevallier, A., Cazals, F. & Fearnhead, P., 28/03/2022, In: Proceedings of Machine Learning Research. 151, p. 10146-10160 15 p.

   Research output: Contribution to Journal/Magazine › Conference article › peer-review

9. Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC

   Coullon, J., South, L. & Nemeth, C., 27/05/2021, Arxiv.

   Research output: Working paper › Preprint

10. Quasi-stationary Monte Carlo and the ScaLE Algorithm

    Pollock, M., Fearnhead, P., Johansen, A. M. & Roberts, G. O., 1/12/2020, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 82, 5, p. 1167-1221 55 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

11. Motor unit number estimation via sequential Monte Carlo

    Taylor, S., Sherlock, C., Ridall, G. & Fearnhead, P., 1/04/2020, In: Computational Statistics and Data Analysis. 144, 16 p., 106845.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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