Research output per year
Research output per year
Personal profile
Research interests
For the most up to date information about my research, supervision and teaching see my home page.
- Statistical Inference in high-dimensional dynamic stochastic systems
- Non-linear filtering theory and algorithms
- Interface between convex optimization, probabilistic modelling and sampling methods
- Bayesian modelling, hidden Markov models, state-space models, time series
External positions
Faculty Fellow, The Alan Turing Institute
Research Groups and Themes
- Jean Golding
Keywords
- Data Science
- Statistical Modelling
- Probabilistic Forecasting
- Computational Statistics
- Financial Mathematics
- Stochastic Processes
- Monte Carlo Algorithms
- Optimization
- Machine Learning
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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How high is ‘high’? Rethinking the roles of dimensionality in topological data analysis and manifold learning
Sansford, H. J., Whiteley, N. & Rubin-Delanchy, P., 30 Apr 2026, (Accepted/In press) Proceedings of the Forty-Third International Conference on Machine Learning 2026. MLResearch Press, (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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Michael Whitehouse, Lorenzo Rimella, and Nick Whiteley’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.
Whitehouse, M., Whiteley, N. & Rimella, L., 1 Jan 2026, In: Journal of the Royal Statistical Society: Series A. 189, 1, p. 119–121 3 p.Research output: Contribution to journal › Comment/debate (Academic Journal)
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Scalable calibration of individual-based epidemic models through categorical approximations
Rimella, L., Whiteley, N., Jewell, C., Fearnhead, P. & Whitehouse, M., 11 May 2026, (E-pub ahead of print) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access
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Scalable statistical inference for disease contact networks
Whiteley, N. (Principal Investigator)
1/02/26 → 31/01/27
Project: Research
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High-performance algorithms for Dynamic Bayesian Networks
Whiteley, N. (Principal Investigator), Heine, K. (Co-Investigator) & Murray, L. (Co-Investigator)
19/02/18 → 30/06/18
Project: Research
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Sequential Monte Carlo in Random Environments
Whiteley, N. (Principal Investigator)
5/08/13 → 5/02/15
Project: Research