Search Results - Wu, P. P.

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  1. 1

    Using a Bayesian network to classify time to return to sport based on football injury epidemiological data

    Yung, K. K. Y., Wu, P. P. Y., aus der Fünten, K., Hecksteden, A., Meyer, T.
    Published in PLOS ONE (2025)
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  2. 2

    An analysis of pacing profiles in sprint kayak racing using functional principal components and Hidden Markov Models

    Estreich, H., Bullock, N., Osborne, M., Santos-Fernandez, E., Wu, P. P.-Y.
    Published in arXiv e-print repository (2024)
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  3. 3

    Next-Generation models for predicting winning times in elite swimming events: updated predictions for the Paris 2024 Olympic Games

    Mujika, I., Pyne, D. B., Wu, P. P., Ng, K., Crowley, E., Powell, C.
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  4. 4

    Bayesian prediction of winning times for elite swimming events

    Wu, P. P.-Y., Garufi, L., Drovandi, C., Mengersen, K., Mitchell, L. J. G., Osborne, M. A., Pyne, D. B.
    Published in Journal of Sports Sciences (2022)
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  5. 5

    Applying bayesian networks to injury occurrence in professional football

    Yung, K. K.-Y., Wu, P. P.-Y., Ardern, C., Tröß, T., Hadji, A., Fünten, K., Hecksteden, A., Serpiello, F., Robertson, S.
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  6. 6

    Bayesian hierarchical modelling of basketball tracking data - a case study of spatial entropy and spatial effectiveness

    Hobbs, W., Wu, P. P.-Y., Gorman, A. D., Mooney, M., Freeston, J.
    Published in Journal of Sports Sciences (2020)
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