Browse by UCL people
Group by: Type | Date
Number of items: 15.
Article
Chakraborti, Tapabrata;
Banerji, Christopher RS;
Marandon, Ariane;
Hellon, Vicky;
Mitra, Robin;
Lehmann, Brieuc;
Bräuninger, Leandra;
... MacArthur, Ben; + view all
(2025)
Personalized uncertainty quantification in artificial intelligence.
Nature Machine Intelligence
, 7
pp. 522-530.
10.1038/s42256-025-01024-8.
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Kamhieh, Yasmine;
Mitra, Robin;
Burnett, Thomas;
Jones, Hugh;
Roblin, Graham;
Hall, Andrew;
(2023)
Sirolimus for Pediatric Cervicofacial Lymphatic Malformation: A Systematic Review and Meta-Analysis.
The Laryngoscope
10.1002/lary.31091.
(In press).
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Mantziou, Anastasia;
Lunagómez, Simón;
Mitra, Robin;
(2024)
Bayesian model-based clustering for populations of network data.
Annals of Applied Statistics
, 18
(1)
pp. 266-302.
10.1214/23-AOAS1789.
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Mitra, R;
McGough, SF;
Chakraborti, T;
Holmes, C;
Copping, R;
Hagenbuch, N;
Biedermann, S;
... MacArthur, BD; + view all
(2023)
Learning from data with structured missingness.
Nature Machine Intelligence
, 5
pp. 13-23.
10.1038/s42256-022-00596-z.
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Mitra, Robin;
(2022)
A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching.
Biometrical Journal
10.1002/bimj.202100284.
(In press).
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Proceedings paper
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Jackson, J;
Mitra, R;
Francis, B;
Dove, I;
(2022)
On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach.
In:
Privacy in Statistical Databases. PSD 2022.
(pp. pp. 205-219).
Springer International Publishing: Cham, Switzerland.
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Jackson, James;
Mitra, Robin;
Francis, Brian;
Dove, Iain;
(2024)
Obtaining (ε, δ)-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables.
In: Domingo-Ferrer, Josep and Önen, Melek, (eds.)
Privacy in Statistical Databases: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings.
(pp. pp. 102-112).
Springer: Cham, Switzerland.
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Mitra, Robin;
Jackson, James;
Francis, Brian;
Dove, Iain;
(2022)
Using saturated models for data synthesis.
In:
Proceedings of the 36th International Workshop on Statistical Modelling : July 18-22, 2022.
(pp. pp. 205-210).
EUT Edizioni Università di Trieste: Trieste, Italy.
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Working / discussion paper
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Houssiau, Florimond;
Cohen, Samuel N;
Szpruch, Lukasz;
Daniel, Owen;
Lawrence, Michaela G;
Mitra, Robin;
Wilde, Henry;
(2022)
A Framework for Auditable Synthetic Data Generation.
ArXiv: Ithaca, NY, USA.
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Jackson, James;
Mitra, Robin;
Francis, Brian;
Dove, Iain;
(2024)
The appeal of the gamma family distribution to protect the confidentiality of contingency tables.
ArXiv: Ithaca, NY, USA.
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Jackson, James;
Mitra, Robin;
Hagenbuch, Niels;
Mcgough, Sarah;
Harbron, Chris;
(2023)
A Complete Characterisation of Structured Missingness.
ArXiv: Ithaca, NY, USA.
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Noonan, Jack;
Adediran, Adetola Adedamola;
Mitra, Robin;
Biedermann, Stephanie;
(2022)
An integrated approach to test for missing not at random.
ArXiv: Ithaca, NY, USA.
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Qian, Linglong;
Wang, Tao;
Wang, Jun;
Ellis, Hugh;
Mitra, Robin;
Dobson, Richard;
Ibrahim, Zina;
(2024)
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.
ArXiv: Ithaca, NY, USA.
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Conference item
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Kokosi, Theodora;
De Stavola, Bianca;
Mitra, Robin;
Copas, Andrew;
Harron, Katie;
(2022)
Barriers and facilitators to generating synthetic administrative data for research.
Presented at: UNSPECIFIED.
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Digital scholarly resource
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Hellon, Vicky;
Davies, Alisha;
Mitra, Robin;
Alan Turing Institute;
(2022)
Generating insights into disease, patient, and outcome heterogeneity: The Turing-Roche Partnership.
[Digital scholarly resource].
https://web.archive.org/web/20230401073827/https:/...
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