Timothy Waite – Research output — Research Explorer The University of Manchester

7 Article

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2022
Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models
Englezou, Y., Waite, T. & Woods, D. C., 30 Sept 2022, In: Statistics and Computing. 32, 82.
Research output: Contribution to journal › Article › peer-review

Open Access
Efficient forecasting and uncertainty quantification for large scale account level Monte Carlo models of debt recovery
Baynes, S., Cotter, S., Russell, P., Ryan, E. & Waite, T., 23 Oct 2022, (Accepted/In press) In: Journal of the Royal Statistical Society. Series C: Applied Statistics.
Research output: Contribution to journal › Article › peer-review
2020
Minimax efficient random experimental design strategies with application to model-robust design for prediction
Waite, T. & Woods, D., 14 Dec 2020, In: Journal of the American Statistical Association. 0, p. 1-36 36 p.
Research output: Contribution to journal › Article › peer-review
2018
Singular Prior Distributions and Ill-Conditioning in Bayesian D-Optimal Design for Several Nonlinear Models
Waite, T., 1 Jan 2018, In: Statistica Sinica. 28, p. 505-525 21 p.
Research output: Contribution to journal › Article › peer-review

Open Access
2017
Bayesian design of experiments for generalised linear models and dimensional analysis with industrial and scientific application
Woods, D. C., Overstall, A. M., Adamou, M. & Waite, T., 2017, In: Quality Engineering.
Research output: Contribution to journal › Article › peer-review

Open Access
2015
Designs for generalized linear models with random block effects via information matrix approximations
Waite, T. W. & Woods, D. C., Sept 2015, In: Biometrika. 102, 3, p. 677-693 16 p.
Research output: Contribution to journal › Article › peer-review
Singular prior distributions in Bayesian D-optimal design for nonlinear models
Waite, T. W., 24 Aug 2015, In: Statistica Sinica. 28, 1
Research output: Contribution to journal › Article › peer-review