A computationally efficient nonparametric approach for changepoint detection

Haynes, K., Fearnhead, P. & Eckley, I. A., 09/2017, In: Statistics and Computing. 27, 5, p. 1293-1305 13 p.

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

Likelihood-based procedures for threshold diagnostics and uncertainty in extreme value modelling

Wadsworth, J. & Tawn, J., 06/2012, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 74, 3, p. 543-567 25 p.

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Design of a clustered observational study to predict emergency admissions in the elderly : statistical reasoning in clinical practice.

Lancaster, G. A., Chellaswamy, H., Taylor, S., Lyon, D. & Dowrick, C., 04/2007, In: Journal of Evaluation in Clinical Practice. 13, 2, p. 169-178 10 p.

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

Migration of the elderly to join existing households: evidence from the household SAR.

Al-Hamad, A., Hayes, L. & Flowerdew, R. T. N., 1997, In: Environment and Planning A. 29, 7, p. 1243-1255 13 p.

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Sufficient Conditions for the Global Rigidity of Periodic Graphs

Kaszanitzky, V., Kiraly, C. & Schulze, B., 31/01/2022, In: Discrete and Computational Geometry. 67, p. 1-16 16 p.

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A longitudinal analysis of poverty among families supporting a child with disability

Shahtahmasebi, S., Emerson, E., Berridge, D. & Lancaster, G., 11/2010, In: International Journal on Disability and Human Development. 9, 1, p. 65-75 11 p.

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Techniques for valuing adaptive capacity in flood risk management

Brisley, R., Wylde, R., Lamb, R., Cooper, J., Sayers, P. & Hall, J., 04/2016, In: Proceedings of the ICE - Water Management. 169, 2, p. 75-84 10 p., 1400070.

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Learning from data with structured missingness

Mitra, R., McGough, S. F., Chakraborti, T., Holmes, C., Copping, R., Hagenbuch, N., Biedermann, S., Noonan, J., Lehmann, B., Shenvi, A., Doan, X. V., Leslie, D., Bianconi, G., Sanchez-Garcia, R., Davies, A., Mackintosh, M., Andrinopoulou, E.-R., Basiri, A., Harbron, C. & MacArthur, B. D., 25/01/2023, In: Nature Machine Intelligence. 5, 1, p. 13-23 11 p.

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On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression

Ghosh, J., Li, Y. & Mitra, R., 7/03/2017, In: Bayesian Analysis. 13, 2, p. 359-383 25 p.

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Control variates for stochastic gradient MCMC

Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 1/05/2019, In: Statistics and Computing. 29, 3, p. 599-615 17 p.

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