Results for Statistics, Probability and Uncertainty

Publications & Outputs

1. Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’

   Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 332-334 3 p.

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

2. Automatic Change-Point Detection in Time Series via Deep Learning

   Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 273-285 13 p.

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

3. Tamás P. Papp, Paul Fearnhead and Chris Sherlock's contribution to the discussion of “the Discussion Meeting on Probabilistic and statistical aspects of machine learning”

   Papp, T. P., Fearnhead, P. & Sherlock, C., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 327-328 2 p.

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

4. Does productivity change at all in Swedish district courts? Empirical analysis focusing on horizontal mergers

   Chen, X., Kerstens, K. & Tsionas, M., 29/02/2024, In: Socio-Economic Planning Sciences. 91, 101787.

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

5. Seconder of the vote of thanks and contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

   Nemeth, C., 2/01/2024, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

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

6. Seconder of the vote of thanks and contribution to the discussion of ‘the second discussion meeting on statistical aspects of the COVID-19 pandemic’

   Diggle, P. J., 30/09/2023, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 71, 9, p. 5580 - 5594 14 p.

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

7. Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods

   Whitehouse, M., Whiteley, N. & Rimella, L., 29/09/2023, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 85, 4, p. 1173-1203 31 p.

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

8. The importance of context in extreme value analysis with application to extreme temperatures in the USA and Greenland

   Clarkson, D., Eastoe, E. & Leeson, A., 31/08/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 4, p. 829-843 15 p.

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

9. Adapting the Pillar Integration Process for Theory Development: The Theoretical Model of Healthcare Factors Influencing Quality of Life in Cancer Survivorship

   Drury, A., Payne, S. & Anne-Marie, B., 31/07/2023, In: Journal of Mixed Methods Research. 17, 3, p. 264-287 24 p.

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

10. High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling

    Cho, H., Maeng, H., Eckley, I. A. & Fearnhead, P., 14/07/2023, (Accepted/In press) In: Journal of the American Statistical Association. p. 1-13 13 p.

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

11. Identifying irregular activity sequences: an application to passive household monitoring

    Gillam, J., Killick, R., Taylor, S., Heal, J. & Norwood, B., 30/06/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 3, p. 519-543 25 p.

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

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