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Results for stat.ME

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. Treatment-control comparisons in platform trials including non-concurrent controls

    Roig, M. B., Krotka, P., Hees, K., Koenig, F., Magirr, D., Jacko, P., Parke, T. & Posch, M., 18/07/2024.

    Research output: Working paper › Preprint

  3. Exact statistical analysis for response-adaptive clinical trials: a general and computationally tractable approach

    Baas, S., Jacko, P. & Villar, S. S., 1/07/2024, Arxiv.

    Research output: Working paper › Preprint

  4. Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision

    Dietrich, S., Rodemann, J. & Jansen, C., 24/05/2024, Arxiv.

    Research output: Working paper › Preprint

  5. Approximating optimal SMC proposal distributions in individual-based epidemic models

    Rimella, L., Jewell, C. & Fearnhead, P., 31/03/2024, In: Statistica Sinica. 34, Online Special Issue 1, 38 p., 6.

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

  6. Concave-Convex PDMP-based sampling

    Sutton, M. & Fearnhead, P., 2/10/2023, In: Journal of Computational and Graphical Statistics. 32, 4, 22 p.

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

  7. CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models

    Sharrock, L., Dodd, D. & Nemeth, C., 24/05/2023.

    Research output: Working paper › Preprint

  8. Learning Rate Free Bayesian Inference in Constrained Domains

    Sharrock, L., Mackey, L. & Nemeth, C., 24/05/2023.

    Research output: Working paper › Preprint

  9. Automatic Locally Stationary Time Series Forecasting with application to predicting U.K. Gross Value Added Time Series under sudden shocks caused by the COVID pandemic

    Killick, R., Knight, M. I., Nason, G. P., Nunes, M. A. & Eckley, I. A., 14/03/2023.

    Research output: Working paper › Preprint

  10. Improving Power by Conditioning on Less in Post-selection Inference for Changepoints

    Carrington, R. & Fearnhead, P., 13/01/2023, Arxiv.

    Research output: Working paper › Preprint

  11. 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

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