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  1. Preprint
  2. Published

    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

  3. Published

    Topological transitions with continuously monitored free fermions

    Kells, G., Meidan, D. & Romito, A., 13/03/2023, SciPost Foundation.

    Research output: Working paper › Preprint

  4. Published

    A survey of congruences and quotients of partially ordered sets

    Williams, N. J., 7/03/2023.

    Research output: Working paper › Preprint

  5. Published

    A geometric perspective on the $τ$-cluster morphism category

    Schroll, S., Tattar, A., Treffinger, H. & Williams, N. J., 23/02/2023.

    Research output: Working paper › Preprint

  6. Forthcoming

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 23/02/2023, (Accepted/In press) Proceedings of Machine Learning Research, (Artificial Intelligence and Statistics; vol. 206).

    Research output: Working paper › Preprint

  7. Unpublished

    A closer look at high-energy X-ray-induced bubble formation during soft tissue imaging

    Xian, R. P., Brunet, J., Huang, Y., Wagner, W. L., Lee, P. D., Tafforeau, P. & Walsh, C. L., 14/02/2023, (Unpublished) bioRxiv.

    Research output: Working paper › Preprint

  8. Published

    A structural view of maximal green sequences

    Gorsky, M. & Williams, N. J., 20/01/2023.

    Research output: Working paper › Preprint

  9. Published

    ICARUS at the Fermilab Short-Baseline Neutrino Program -- Initial Operation

    ICARUS Collaboration, 20/01/2023.

    Research output: Working paper › Preprint

  10. Published

    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. Published

    Designing an Optimal LSST Deep Drilling Program for Cosmology with Type Ia Supernovae

    The LSST Dark Energy Science Collaboration, 11/01/2023.

    Research output: Working paper › Preprint

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