Items where Subject is "Statistics and Applied Probability"

Group by: Creators | Date | No Grouping
Jump to: 2018 | 2019 | 2022
Number of items at this level: 8.

2018

Brewer, T., Jack, R., 2018. Data for 'Efficient characterisation of large deviations using population dynamics'. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00457.

Zimmer, J., Embacher, P., Dirr, N., Reina, C., 2018. Codes for "Computing diffusivities from particle models out of equilibrium". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00488.

2019

Li, X., Dirr, N., Embacher, P., Zimmer, J., Reina, C., 2019. Code for "Harnessing fluctuations to discover dissipative evolution equations". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00572.

McCluskey, A., Sanchez Fernandez, A., Edler, K., Parker, S., Jackson, A., Campbell, R., Arnold, T., 2019. Dataset for "Bayesian determination of the effect of a deep eutectic solvent on the structure of lipid monolayers". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00548.

2022

Davenport, J., 2022. Dataset for chapter "Quality and Bias". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01099.

Gill, R., Ehrhardt, B., Murphy, E., 2022. Dataset for "Machine learning outperforms clinical experts in classification of hip fractures". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01011.

Jarai, A., Sun, M., 2022. Simulation data for toppling and height probabilities in sandpiles. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01088.

Khaleel, N., 2022. Code and Dataset for Thesis "Bayesian Analysis of Spatial Log-Gaussian Cox Processes". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01133.

This list was generated on Fri Mar 29 05:40:57 2024 GMT.