Projects per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Dive into the research topics where Probability Laboratory at Bath is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Chris Budd
- Department of Mathematical Sciences - Professor
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Probability Laboratory at Bath
- Centre for Doctoral Training in Decarbonisation of the Built Environment (dCarb)
- Centre for Mathematical Biology
- Institute for Mathematical Innovation (IMI)
- Centre for Nonlinear Mechanics
Person: Research & Teaching
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Alex Cox
- Department of Mathematical Sciences - Deputy Head of Department
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Probability Laboratory at Bath
Person: Research & Teaching
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Antal Jarai
- Department of Mathematical Sciences - Senior Lecturer
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Probability Laboratory at Bath
Person: Research & Teaching
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Workshop: Probability meets Biology II
Heilbronn Institute for Mathematical Research
1/03/23 → 30/11/23
Project: UK charity
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An investigation into the relationship between social housing quality & spending decisions in the context of cost-of-living crisis
Albadra, D., Hinvest, N., Hoffmann, J., Bajoori, E. & Budd, C.
15/11/22 → 31/07/23
Project: Research-related funding
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Sample path asymptotics and applications to branching structures
25/01/22 → 24/01/25
Project: Research council
Research output
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A branching process with deletions and mergers that matches the threshold for hypercube percolation
Eslava, L., Penington, S. & Skerman, F., 3 Jan 2023, (Acceptance date) In: Annales de l'Institut Henri Poincare B Probabilites et Statistiques.Research output: Contribution to journal › Article › peer-review
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Density Fluctuations in Stochastic Kinematic Flows
Milewski, P., Rogers, T. & Worsfold, J., 1 Jan 2023, (Acceptance date) In: SIAM Journal on Applied Mathematics. 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Fine asymptotics for the maximum degree in weighted recursive trees with bounded random weights
Eslava, L., Lodewijks, B. & Ortgiese, M., 30 Apr 2023, In: Stochastic Processes and their Applications. 158, p. 505-569Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
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In conversation with Edward Fraenkel
Zimmer, J. (Creator), Fraenkel, L. (Other), Ball, J. (Other), Wharf, S. (Editor) & Ballinger, J. (Editor), University of Bath, 20 Mar 2018
DOI: 10.15125/BATH-00494, https://vimeo.com/260970641 and one more link, https://vimeo.com/260970965 (show fewer)
Dataset
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Data set for "Acceleration of Convergence to Equilibrium in Markov Chains by Breaking Detailed Balance"
Kaiser, M. (Creator), Jack, R. (Creator) & Zimmer, G. (Creator), University of Bath, 1 May 2017
DOI: 10.15125/BATH-00365, https://doi.org/10.15125/BATH-00349
Dataset
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Dataset for "Structure of inactive states of a binary Lennard-Jones mixture"
Jack, R. (Creator) & Coslovich, D. (Creator), University of Bath, 2016
DOI: 10.15125/BATH-00209
Dataset
Student theses
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Adaptive Mesh Methods for Numerical Weather Prediction
Author: Cook, S., 23 Nov 2016Supervisor: Budd, C. (Supervisor) & Melvin, T. (External person) (Supervisor)
Student thesis: Doctoral Thesis › PhD
File -
Asymptotic properties of fragmentation processes
Author: Knobloch, R., 1 Jan 2011Supervisor: Kyprianou, A. (Supervisor) & Harris, S. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File -
Bayesian Decision Making in Adaptive Clinical Trials
Author: Burnett, T., 2 Nov 2017Supervisor: Jennison, C. (Supervisor) & Harris, S. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File